The Complete Python, Machine Learning, Generative AI Bundle+
Unlock the future with Python, AI, and machine learning! Dive into coding, create smart apps, and lead the tech world. Start now! ✨
The Complete Python, Machine Learning, Generative AI Bundle+ 💻✨
🎯 Do you dream of mastering the art of coding, diving deep into machine learning, or even creating your own AI applications?
🚀 Do you wish you could generate a steady stream of income from your tech projects, just like those successful developers?
🤖 Are you looking to enhance your career with cutting-edge skills in Python, machine learning, and generative AI?
Then this bundle, brimming with extensive, engaging content, is the golden key to your aspirations! 📚🚀
🌍 Launch into the realms of Python, Machine Learning, and Generative AI
The premium tech territories that are shaping our modern world!
Imagine a life where your financial worries are dissolved. Giants like Google, IBM, and SpaceX are heavily investing in these technologies - now it's your turn! 💪📈
Python is the fastest-growing major programming language worldwide!
With The Complete Python, Machine Learning, Generative AI Bundle+, you'll set forth on an expedition to develop superior projects harnessing the raw power of PYTHON, the intellect of MACHINE LEARNING, and the creativity of GENERATIVE AI. 💻🤖
Fall in love with coding
Turn your fascination into financial success by developing your own applications! 📊💰 Boost your portfolio with pioneering tech competencies - this course is your ticket to an illustrious career! 🎟️🌟
Develop apps, algorithms, and AI-driven solutions.
Arm yourself with Python and machine learning expertise and stay ahead in the era of digital transformation. Don't just adapt to the future; shape it! 🌟🤖
Here's a glimpse of what you'll achieve:
Bundle Breakdown: 👇
▶️ Level 1: Python Basics 😃💻
- Introduction to Python Programming
- Code your first Python application
- Understanding variables, loops, and statements
- Handle data with Python
- User interaction and console output
▶️ Level 2: Advanced Python Projects 🐍🖥️
- Dive into object-oriented programming
- Advanced Python features (decorators, generators, context managers)
- Build dynamic web applications using Flask or Django
- Data manipulation with Pandas
- Work with APIs and external data
- Data Science with Python and NumPy
- Learn to Graph Data with Python and Matplotlib
- Complete Beginners Data Analysis with Pandas and Python
- Python and Flask Web Development Bootcamp
- Python and SQLite Bootcamp - Learn to Build Databases
- Creating Your First Movie Recommender System: A Comprehensive Guide to Building Basic Film Suggestion Engines
- PySpark - Build DataFrames with Python, Apache Spark and SQL
- Scrape the Web - Python and Beautiful Soup Bootcamp
- Build Interactive Python Dashboards with Plotly and Dash
- Data Mining with Python and NumPy - Build a Video Recommender System
▶️ Level 3: Machine Learning with Python 🌍🧠
- Fundamentals of machine learning
- Popular ML algorithms and their applications
- Data preprocessing and analysis
- Build predictive models with Scikit-Learn
- Deep learning with TensorFlow/Keras
- Mastering the Basics: Constructing a Movie Recommendation System using Machine Learning
- Machine Learning User Recommendations with Profiles and Items
- Build a Dense Neural Network to Recommend Movies
- Python Chatbot Bootcamp with Pandas, NumPy and SciKit (Natural Language Processing - Build 2 Chatbots)
- Python Data Analysis Bootcamp with Pandas and NLTK - Natural Language Processing
- Beginner Data Science and Machine Learning Bootcamp (Sentiment Analysis with Unsupervised Classification with Python, Pandas, NumPy, Matplotlib and SciKit-Learn)
▶️ Level 4: Generative AI Mastery 🎨🤖
Automate Your Job with ChatGPT
- Build your first ChatGPT AI prompts with Prompt Engineering
- Automate business tasks with ChatGPT Prompt Engineering
- ChatGPT for Marketing Automation
- ChatGPT Prompts for Research, Copywriting and Career Prep
- Automate Coding with ChatGPT Prompts
- Automate Excel with ChatGPT
- Build Investment Dashboard with ChatGPT and Excel
- Sales Automation with ChatGPT and Excel
- Automate Business Writing with ChatGPT
- Automate Social Media Business with ChatGPT
- Introduction to ChatGPT 4 Prompts for Marketing
- Build Social Media and Blog Posts with ChatGPT 4 Prompts
- Build Emails, Ads and Videos with ChatGPT 4 Prompt Engineering
- Build Marketing Funnels and Analyze Customers with ChatGPT 4
- Web Development, Branding and eCommerce with ChatGPT 4
- ChatGPT for C-Level Communications
- ChatGPT for Data Analysis and Task Management
- ChatGPT Effective Tips and Tricks
Prompt Engineering with ChatGPT
- Predict stock performance with ChatGPT
- Stock Analysis with ChatGPT
- Build an Investment Plan with ChatGPT
- Stock Market Prediction and Risk Analysis with ChatGPT
- Trading Strategies, Sentiment Analysis and Fraud Detection with ChatGPT
ChatGPT for Sales Automation
- ChatGPT for Sales Best Practices
- ChatGPT for Outreach Strategy
- ChatGPT for Lead Generation
- Improve LinkedIn Sales with ChatGPT
- ChatGPT for Sales Role Play
- Measure Sales Performance with KPIs in Excel and ChatGPT
- Sales Data Analysis and Visualization in Excel with ChatGPT
- Sales Modeling in Excel with ChatGPT
- Sales Forecasting with Machine Learning in Excel with ChatGPT
Superpower Your Apps with ChatGPT Technology
- ChatGPT Prompts and Best Practices for Python Coders
- Build Python Projects with OpenAI
- Build a ChatGPT Clone with Python Custom UI
- Build a ChatGPT Chrome Extension with Python
- Build AI Web Apps with ChatGPT and Python
- Build coding and data science AI apps with OpenAI Python API
- Automate marketing and copywriting with ChatGPT API Python
- Customize OpenAI machine learning with Python web scraping data
- Build custom OpenAI ChatGPT API Python apps with embeddings
Automate Machine Learning with ChatGPT
- Automate Power BI DAX and M with ChatGPT
- Automate Python Data Visualization in Power BI with ChatGPT
- Automate Python Machine Learning with ChatGPT
- Automate Excel Data Manipulation with Python and ChatGPT
- Automate Data Distribution Visualization with ChatGPT and Python
Build Your Own Chabot
- Introduction to generative AI and its potential
- Understanding Generative Adversarial Networks (GANs)
- Build a Machine Learning Chatbot from Scratch
- Build Advanced Chatbot with Transformer Neural Network
- Create your text generators with GPT-based models
- Build AI that creates images and designs
- Implement chatbots with advanced natural language processing
Build Your Own Image Generation AI
- Image Generation with Open Source Stable Diffusion Machine Learning Python
- Image Generation with Diffusion Neural Network
▶️ Level 5: Tech Career Interview Prep 🚀🔥
- General Python Interview Questions
- Conquer the tech interview
- Master algorithms and data structures
- Understand system design basics
- Machine Learning Interview Challenges
- Top 10 Coding Problems and Solutions
- Crack the Data Science Interview with Python
- Image Generation Machine Learning Interview Questions
- Beginner Python Array Interview Questions with Time and Space Complexity
- Beginner Python Sort Interview Questions with Time and Space Complexity
- Beginner Python Tree Interview Questions with Time and Space Complexity
- Beginner Python Heap Interview Questions with Time and Space Complexity
- Beginner Python Linked List Interview Questions with Time and Space Complexity
And the best part? ALL SOURCE CODE IS INCLUDED!
Whether you're a coding newbie, tech entrepreneur, career enhancer, or AI enthusiast, this course opens its doors to everyone! 🙌 Your moment to transform your aspirations into achievement is here! 🎓🚀
Don't just use technology, create it! Plunge in NOW! 🌊💻🚀🌟
Requirements:
- No prior experience required - we're here to teach you EVERYTHING!
- You'll need a computer (Mac or PC) and internet access. 🖥️🌐
This course offers crisp, 1080p HD video tutorials and hands-on real-world projects.
So, what's the hold-up? Embark on your learning adventure TODAY! 📚🚀
All Pledge Tiers are STACKING
- Unlock more comprehensive courses and resources with each pledge level
- Tailor your educational journey by picking the subjects and sections that captivate you the most
- Gain from exclusive perks, materials, and assistance for superior pledge tiers
Testimonials
Frequently Asked Questions
How do I obtain a certificate?
Each certificate in this bundle is only awarded after you complete every lecture of the course.
Many of our students post their Mammoth Interactive certifications on LinkedIn. Not only that, but you will have projects to show employers on top of the certification.
Is this an eBook or videos?
The majority of this bundle will be video tutorials (screencasts of practical projects step by step.) You will also get PROMPTS, PDFs and ALL SOURCE FILES!
Can't I just learn via YouTube?
YouTube tutorials prioritize clickbait, shock factor, and hacking the recommendation algorithm. This makes it hard to find quality content.
Our online courses are completely about education. You'll be taken from absolute beginner to advanced programmer. With no ads, clickbait or shock factor.
This bundle is much more streamlined and efficient than learning via Google or YouTube. We have curated a massive curriculum to take you from zero to starting a high-paying career.
How will I practice to ensure I'm learning?
With each section there will be a project, so if you can build the project along with us you are succeeding. There is also a challenge at the end of each section that you can take on to add more features to the project and advance the project in your own time.
Read more FAQs in the FAQ tab.
📦 Enroll today, and anticipate:
- HD Video Instructions
- Mobile-friendly viewing experience
- Source code
- Full-Scale Projects
- Resources and Downloads
🌐 About Mammoth Interactive
Over 12 years, Mammoth Interactive has built a global student community with 5 million courses sold. Mammoth Interactive has released over 300 courses and 3,000 hours of video content.
🤝 Trusted Small Business with 46 Kickstarter Campaigns
🔓 Unlock Your Completion Certificate
Upon completing each course in this bundle, you'll receive a Completion Certificate. You can feature this certificate on your resume and LinkedIn.
Your Instructor
John has been programming since 1997 and teaching since 2002. He has been contracted by many different companies to provide game design, audio, programming, level design and project management.
To this day John has contributed to 40 commercial games. Several of the games he has produced have risen to the Top 10 in the Apple's App Store.
His expertise is in e-learning, entrepreneurship, programming, software development, and game development. He is also a new father of two kids.
Mammoth Interactive is a leading online course provider in everything from learning to code to becoming a YouTube star. Mammoth Interactive courses have been featured on Harvard’s edX, Business Insider and more.
Over 13 years, Mammoth Interactive has built a global student community with 6+ million courses sold. Mammoth Interactive has released over 350 courses and 3,500 hours of video content.
Founder and CEO John Bura has been programming since 1997 and teaching
since 2002. John has created top-selling applications for iOS, Xbox and
more. John also runs SaaS company Devonian Apps, building
efficiency-minded software for technology workers like you.
Course Curriculum
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Start01. Intro To Python (5:46)
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Start01.01 What Is Google Colab (4:24)
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Start01.02 What If I Get Errors (2:40)
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Start01.03 How Do I Terminate A Session (2:40)
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Start02. Variables (19:17)
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Start03. Type Conversion Examples (10:04)
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Start04. Operators (7:04)
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Start05. Operators Examples (21:52)
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Start06. Collections (8:23)
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Start07. Lists (11:38)
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Start08. Multidimensional List Examples (8:05)
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Start09. Tuples Examples (8:34)
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Start10. Dictionaries Examples (14:24)
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Start11. Ranges Examples (8:30)
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Start12. Conditionals (6:41)
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Start13. If Statement Examples (10:16)
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Start14. If Statement Variants Examples (11:18)
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Start15. Loops (7:00)
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Start16. While Loops Examples (11:30)
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Start17. For Loops Examples (11:18)
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Start18. Functions (7:47)
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Start19. Functions Examples (9:16)
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Start20. Parameters And Return Values Examples (13:46)
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Start21. Classes And Objects (11:13)
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Start22. Classes Example (13:11)
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Start23. Objects Examples (9:54)
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Start24. Inheritance Examples (17:26)
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Start25. Static Members Example (11:03)
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Start26. Summary And Outro (4:06)
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Start00. Course Intro (6:10)
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StartIntro to Tensorflow - Source Files
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Start01. Intro To Tensorflow (5:33)
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Start02. Installing Tensorflow (3:52)
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Start03. Intro To Linear Regression (9:26)
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Start04. Linear Regression Model - Creating Dataset (5:49)
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Start05. Linear Regression Model - Building The Model (7:22)
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Start06. Linear Regression Model - Creating A Loss Function (5:57)
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Start07. Linear Regression Model - Training The Model (12:43)
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Start08. Linear Regression Model - Testing The Model (5:22)
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Start09. Summary And Outro (2:55)
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StartSource Files
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Start00. Course Intro (5:11)
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Start01. Intro To Numpy (6:21)
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Start02. Installing Numpy (3:59)
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Start03. Creating Numpy Arrays (16:55)
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Start04. Creating Numpy Matrices (11:57)
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Start05. Getting And Setting Numpy Elements (16:59)
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Start06. Arithmetic Operations On Numpy Arrays (11:56)
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Start07. Numpy Functions Part 1 (19:13)
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Start08. Numpy Functions Part 2 (12:36)
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Start09. Summary And Outro (3:01)
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Start00. Course Intro (6:05)
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Start01. Quick Intro To Machine Learning (9:01)
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Start02. Deep Dive Into Machine Learning (6:01)
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Start03. Problems Solved With Machine Learning Part 1 (13:26)
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Start04. Problems Solved With Machine Learning Part 2 (16:25)
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Start05. Types Of Machine Learning (10:15)
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Start06. How Machine Learning Works (11:40)
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Start07. Common Machine Learning Structures (13:51)
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Start08. Steps To Build A Machine Learning Program (16:34)
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Start09. Summary And Outro (2:49)
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StartIntro to Machine Learning Slides
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Start00. Course Intro (6:19)
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StartSource Files
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Start01. How Machines Interpret Text (15:23)
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Start02. Building The Model Part 1 - Examining Dataset (12:27)
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Start03. Building The Model Part 2 - Formatting Dataset (15:14)
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Start04. Building The Model Part 3 - Building The Model (10:30)
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Start05. Building The Model Part 4 - Training The Model (5:42)
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Start06. Building The Model Part 5 - Testing The Model.Mp4 (9:26)
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Start07. Course Summary And Outro (3:29)
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Start00. Course Intro (5:30)
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StartPyplot Code
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Start01. Intro To Pyplot (5:11)
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Start02. Installing Matplotlib (5:52)
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Start03. Basic Line Plot (7:53)
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Start04. Customizing Graphs (10:47)
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Start05. Plotting Multiple Datasets (8:10)
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Start06. Bar Chart (6:26)
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Start07. Pie Chart (9:13)
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Start08. Histogram (10:14)
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Start09. 3D Plotting (6:28)
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Start10. Course Outro (4:09)
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StartSource Files
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Start00. Panda Course Introduction (5:43)
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Start01. Intro To Pandas (7:55)
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Start02. Installing Pandas (5:28)
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Start03. Creating Pandas Series (20:34)
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Start04. Date Ranges (11:29)
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Start05. Getting Elements From Series (19:21)
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Start06. Getting Properties Of Series (13:04)
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Start07. Modifying Series (19:02)
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Start08. Operations On Series (11:48)
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Start09. Creating Pandas Dataframes (22:57)
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Start10. Getting Elements From Dataframes (25:12)
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Start11. Getting Properties From Dataframes (17:44)
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Start12. Dataframe Modification (36:24)
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Start13. Dataframe Operations (20:09)
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Start14 Dataframe Comparisons And Iteration (15:35)
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Start15. Reading Csvs (12:00)
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Start16. Summary And Outro (4:14)
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StartSource Files
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Start00A Project Preview (4:13)
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Start00B What Is Flask (3:45)
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Start00C What You-ll Need (1:49)
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Start01 01 Build Your First Flask App (13:26)
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Start01 02 Render HTML On Multiple Pages (10:53)
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Start01 03 Build Page Templates With HTML (9:31)
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Start01 04 Build Dynamic Page Templates (5:36)
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Start01 05 Display JSON Data (5:21)
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Start01 06 Build A Template To Show All Data (9:16)
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StartSource Files
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Start00A Project And Database Preview (2:37)
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Start01 What You'll Need (1:54)
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Start00B What Is SQLite (4:01)
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Start01 Create A Database (4:00)
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Start02 Build Database Tables (5:25)
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Start03 Insert Records (9:18)
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Start04 Select Records (5:48)
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Start05 Connect To A Database (3:19)
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Start06 Build A Row From User Input (10:27)
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Start07 Check If Entry Already Exists (5:39)
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Start08 Introduction To SQL Joins (3:53)
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Start09 Build SQL Joins (11:32)
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StartSource Files
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Start00 Project Preview (2:33)
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Start01 What Is Apache Spark (2:37)
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Start02 What Are Resilient Distributed Datasets (1:08)
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Start03A What Is A Dataframe (1:47)
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Start03B What You-ll Need (1:47)
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Start04 Start A Spark Session (3:47)
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Start05 Load Data As A CSV (6:02)
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Start06 Perform Basic Dataframe Operations (4:02)
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Start07 Format Dataframe Table (5:14)
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Start08 Perform Dataframe Math Operations (7:32)
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Start09 Perform Dataframe Queries (14:22)
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Start10 Build SQL Queries With Spark (7:24)
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Start01 What You-ll Need (1:30)
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Start00 What Is Web Scraping (5:39)
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Start02 Build An Html Webpage To Scrape (12:42)
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Start03 Select Data Structures From A Webpage (5:48)
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Start04 Extract Urls And Text (5:24)
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Start05 Work With Tags (8:06)
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Start06 Work With Attributes (5:19)
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Start07 Add Navigation To A String (5:29)
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Start08 Navigate Html Contents (7:16)
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Start09 Find All Filter (4:52)
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StartSource Files
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Start01 Project Preview (1:39)
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StartSource Files
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Start02 What Is Plotly And Dash (3:59)
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Start03 What You'll Need (2:09)
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Start04 Build A Dash App (11:44)
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Start05 Build A Graph In The Dash App (12:05)
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Start06 Load Data From Vega Datasets (5:33)
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Start07 Build The Layout (10:27)
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Start08 Build A Chart With Altair (11:56)
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Start00 Project Preview (2:48)
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StartSource Files
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Start01 Build A Dataset (23:44)
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Start02 Compute Support And Confidence - If A Person Watches X, They Will Watch Y (10:06)
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Start03 Compute Support And Confidence For All Channels (14:21)
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Start04 Determine Which Videos Are Best To Recommend (9:57)
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Start00A What Is Machine Learning (5:26)
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Start00B Types Of Machine Learning Models (12:17)
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Start00C What Is Supervised Learning (11:04)
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Start00D What Is Unsupervised Learning (8:17)
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Start01 How Does A Machine Learning Agent Learn (7:38)
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Start02 What Is Inductive Learning (4:11)
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Start03 Performance Of A Machine Learning Algorithm (4:14)
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Start04 Handle Noise In Data (5:22)
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Start05 Powerful Tools With Machine Learning Libraries- (12:11)
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Start01 Create A Dataset (5:17)
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Start01 Project Preview (3:29)
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Start02 Vectorize Text (16:27)
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Start03 Build A Word Cloud (7:08)
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Start04 Reduce Data Dimensionality With Principal Component Analysis (6:08)
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Start05 Perform Unsupervised Classification With K-Means Clusters (17:33)
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StartSource Files
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Start03-01 Probability And Information Theory Overview (5:15)
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Start00 Course Overview (13:46)
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Start03-02 Combinatorics For Probability (8:44)
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Start03-03 Law Of Large Numbers (10:38)
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Start03-04 Calculate Center Of Distribution (7:40)
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Start04-01 Uniform Distribution (5:25)
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Start04-02 Gaussian Distribution (3:45)
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Start04-03 Log-Normal Distribution (3:28)
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Start04-04 Exponential Distribution (3:04)
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Start04-05 Laplace Distribution (1:54)
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Start04-06 Binomial Distribution (9:05)
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Start04-07 Multinomial Distribution (3:59)
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Start04-08 Poisson Distribution (4:21)
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Start05 Calculate Error Of Machine Learning Model (8:44)
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StartSource Files
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Start00-00 What Is Python (4:48)
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StartSource Files
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Start00-01. Intro To Python (4:37)
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Start00b-00 Course Overview (3:26)
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Start03-01 Load And Clean A Public Dataset (8:55)
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Start03-01B What Is One-Hot Encoding (10:02)
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Start03-02 Build X And Y Data With One Hot Encoding (4:57)
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Start03-03 Logistic Regression With One Hot Encoding (2:20)
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Start04-04 Scale And Encode Data With Scikit-Learn (3:47)
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Start04-04 What Is Scaling Data (6:36)
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Start04-05 Build, Train And Test A Machine Learning Model (4:37)
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Start05-01 Compare Decision Tree And Linear Regression Models (6:26)
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Start05-01C What Is The Kbins Discretizer (4:54)
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Start05-02 Bin Data With Kbins Discretizer (3:42)
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Start05-03 Compare Binned Regression Models (3:39)
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Start05-04 Build A Linear Regression Model On Stacked Data (3:20)
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Start05-05A What Is K Means Clustering (11:58)
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Start06-01 Build Univariate Nonlinear Transformatio (1:55)
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Start06-01 What Is Gaussian Probability Distribution- (2:31)
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Start06-01B What Is Poisson Distribution (1:08)
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Start06-02 Build X Y Data With Poisson Distribution In Numpy (3:34)
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Start06-02C What Is Logarithmic Data Transformation (2:34)
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Start06-03 Build A Ridge Regression Model (3:41)
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Start00-01 Introduction To Recommender Systems (9:08)
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StartSource Files
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Start00-02 How To Evaluate Recommender Systems (14:54)
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Start00-03 Content Based Recommendations (4:37)
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Start00-04 Neighborhood Based Collaborative Filtering (2:22)
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Start01-00 Project Preview (1:59)
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Start01-01 Load Data As Pandas Dataframes (12:17)
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Start01-02 Merge Movies And Ratings Dataframes (8:30)
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Start01-03 Build A Correlation Matrix (6:20)
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Start01-04 Test The Recommender (6:55)
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Start00 Project Preview (4:51)
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StartSource files
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Start00A What Is Machine Learning (5:26)
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Start00B Types Of Machine Learning Models (12:17)
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Start00C What Is Supervised Learning (11:03)
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Start01 Load Data Into Dataframes (6:50)
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Start02 Find A Recommendation Based On Different Movie Features (16:03)
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Start03 Calculate Distance Between Users (5:59)
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Start04 Find Similar Users With Euclidean Distance (9:26)
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Start05 Define Similarity Between Users (6:29)
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Start06 Find Top Similar Users (8:05)
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Start07 Recommend A Movie Based On User Similarity (8:08)
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Start08A What Is K Nearest Neighbours (8:07)
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Start08B Recommend A Movie With A K Nearest Neighbors Classifier (12:23)
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Start09 Create A Sample User For Testing (11:09)
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Start10 Recommend Movies To Sample User (3:08)
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Start08-01 Load Data For Machine Learning (15:14)
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Start00 Project Preview (4:38)
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Start08-02 Process Data For Machine Learning (11:25)
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Start08-03 Build Categories (9:31)
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Start09-04A Regression Introduction (8:58)
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Start09-04B What Is Regression (19:55)
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Start09-04C Build A Ridge Regression Model (13:43)
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Start09-05 Evaluate Model Error (7:04)
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Start09-06 Visualize Top Features Affecting Rating (11:27)
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Start09-07 Build A Lasso Regression Model (8:01)
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Start09-08 Visualize Top Features From Lasso Regression (8:07)
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Start09-09 Determine Which Model Is Best (3:28)
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Start10-01 Load Data For A Neural Network (9:16)
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Start10-02 Build A Singular Value Decomposition Algorithm (10:14)
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Start10-03 Calculate Model Error (11:27)
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StartSource Files
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Start11-01 What Is Deep Learning (7:42)
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Start11-02 What Is A Neural Network (8:47)
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Start11-03 What Is Unsupervised Learning (8:17)
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Start12-04 Build A Neural Network (15:16)
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Start12-05 Train The Neural Network (12:27)
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Start13-00 Project Preview (2:38)
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Start13-01 Load Data Into Dataframes (5:28)
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Start13-02 Explore Data In Our Dataset (3:49)
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Start13-03 Build A Rating Pivot Table (5:22)
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Start13-04 Calculate Average Rating Of A Movie (5:51)
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Start13-05 Find Ratings For A Movie In Every Slice (6:17)
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Start13-06 Find Rating Averages For Every Movie In The Slice (7:54)
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Start13-07 Build An Average Ratings Column (13:25)
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Start01 Projects Preview (4:49)
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StartSource Files
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Start02 What Is Natural Language Processing (5:39)
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Start03 What Is Text Vectorization (7:34)
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Start04 Train A Vectorizer (8:50)
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Start05 Chat With The User (11:04)
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Start06 Define A Basic Intent Classifier (7:42)
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Start07 Define A Basic Generative Model (4:05)
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Start08 Test The Chatbot (9:33)
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Start01 Project Preview (3:29)
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Start04-01 Create A Dataset (5:17)
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Start04-02 Vectorize Text (16:27)
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Start04-03 Build A Word Cloud (7:08)
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Start04-04 Reduce Data Dimensionality With Principal Component Analysis (6:08)
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Start04-05 Perform Unsupervised Classification With K-Means Clusters (17:33)
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StartSource Files
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Start02 Intro To Prompt Engineering-Prompt Types (8:28)
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StartSource Files
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Start01 What Is Chatgpt (7:50)
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Start03 Intro To Prompt Engineering-Effective Prompts (8:41)
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Start04 Project Preview (2:04)
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Start05 Simplify Complex Information (8:38)
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Start06 Simplify Complex Information-Other Strategies (8:41)
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StartSource Files
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Start02 03 Proofread-Email And Business Proposals (8:39)
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Start02.03 Proofread-More Use Cases (8:24)
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Start02.04 Re-Organize Data-Benefits And First Sample Use Case (6:22)
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Start02.04 Re-Organize Data-Potential Use Cases Case (10:44)
-
Start02.05 Work With Spreadsheets-Automating Data Entry (7:46)
-
Start02.05 Work With Spreadsheets-Formulas And Other Use Cases (7:31)
-
Start01 Project Preview (1:23)
-
Start02 Create Content (4:03)
-
Start03 Social Media (4:26)
-
Start04 Write Ad Copy (8:17)
-
Start05 Write Email Marketing Campaigns (4:55)
-
Start06 Write An Outreach Message (5:08)
-
Start07 Copyrighting (4:29)
-
Start08 Seo (5:09)
-
Start09 Video Scripts (8:49)
-
Start10 Generate Text In Your Writing Style (3:25)
-
Start02 Research-Chatgpt Usecase And Benefits (7:05)
-
Start01 Project Preview (1:51)
-
Start02B Research-More Examples And Explanation (7:49)
-
Start03 Write An Article-Add Role To Chatgpt (7:17)
-
Start03B Write An Article-Generate High Quality Content (8:02)
-
Start04 Check Plagiarism (10:56)
-
Start05 Prepare For Job Opportunities-Cv And Cover Letter (8:28)
-
Start05B Prepare For Job Opportunities-Interview Questions, Connection And Task Generator (8:36)
-
Start02 Generate Code-Javascript And Python Code Snippets (9:26)
-
Start01 Project Preview (2:33)
-
Start02B Generate Code-Stylesheet, Html, C++ And Conversion (9:20)
-
Start03 Build Algorithms-Algorithm To Pseudocode (4:03)
-
Start03B Build Algorithms-Realworld Use Cases (8:11)
-
Start04 Debug-Python Use Case (6:51)
-
Start04B Debug-React, Api, Javascript, Html And Css (6:56)
-
Start05 Write Code Documentation (9:51)
-
Start06 Use Chatgpt As A Linux Terminal (8:32)
-
Start07 Use Chatgpt As A Unix Terminal (9:08)
-
Start08 Use Chatgpt As A Microsoft Dos Terminal (5:28)
-
Start09 Use Chatgpt To Suggest Uxui Designs (8:10)
-
Start10 Use Chatgpt To Suggest Cybersecurity Solutions (10:05)
-
StartSource file
-
Start04 01 Project Preview_1 (2:10)
-
Start04.02A Project Setup - Product Worksheet (11:59)
-
Start04.02B Setup Sales And Summary Sheet (9:22)
-
Start04.03A Build Advanced Chatgpt Excel Project (13:00)
-
Start04.03B Automating Product Name And Price Data (13:11)
-
Start04.03C Completing Sales Sheet Automation With Chatgpt (9:32)
-
Start04.03D Building Sales Overview Dashboard (8:37)
-
Start04.03E Refining The Pos System (11:14)
-
StartSource file 05
-
Start01 Project Preview (2:18)
-
Start02 Meeting Agendas And Minutes (10:25)
-
Start03 Write A Business Proposal (11:18)
-
Start04 Build A Business Report (11:12)
-
Start05 Build A Business Plan (10:35)
-
Start06 Build A Business Performance Appraisal (10:39)
-
Start07 Build A Business Presentation (12:40)
-
Start08 Summarize Business Documents (11:44)
-
Start09 Write Job Descriptions (8:33)
-
Start10 Build White Papers (9:38)
-
Start11 Build Employee Handbooks (8:44)
-
Start12 Build Business Manuals (9:24)
-
Start01. Source Files
-
Start00 Introduction Of The Instructor (1:53)
-
Start01 Setting Up Your Chatgpt Account - A Step-By-Step Guide (6:04)
-
Start02 Tips For Getting The Best Responses From Chatgpt (9:55)
-
Start03 Building A Marketing Campaign Content Calendar With Chatgpt (10:34)
-
Start04 The Importance Of Identifying Your Target Audience_1 (3:08)
-
Start05 Using Chatgpt For Target Audience Research And Assessment (11:54)
-
StartSource Files
-
Start01 Project Preview (1:21)
-
Start02 Exploring Social Media Marketing And Automation (5:59)
-
Start03 Generating Social Media Posts (10:38)
-
Start04 Social Media Automation Tool - Socialbee - -Bonus- (6:40)
-
Start05 Automating Social Media Post Scheduling - -Bonus- (8:26)
-
Start06 Automating Social Media Reposting - -Bonus- (8:28)
-
Start07 Configuring Your Social Media Automation Timetable – -Bonus- (4:00)
-
Start08 Project Preview (1:11)
-
Start09 Generate Optimized Keywords And Blog Headlines (7:39)
-
Start10 Building An Seo-Enhanced Blog Post Quickly (10:07)
-
Start01 Introduction To Email Marketing And Its Significance (3:37)
-
StartSource Files
-
Start02 Building Effective Email Sequences (7:27)
-
Start03 Crafting Sales Page Copy (8:05)
-
Start04 Project Preview (1:07)
-
Start05 Producing Facebook Ads (10:00)
-
Start06 Generating Google Ads (9:44)
-
Start07 Generate Ads For Instagram And Twitter (7:36)
-
Start08 Project Preview (1:09)
-
Start09 Generating Unlimited Video Concepts (10:33)
-
Start10 Crafting A Full Youtube Video Script (10:00)
-
Start11 Youtube Seo Strategies (8:54)
-
Start01 Project Preview (1:26)
-
StartSource Files
-
Start02 Guides To Building Effective Marketing Funnels (4:01)
-
Start03 Defining Your Buyer Persona (9:38)
-
Start04 Generating A Lead Magnet (8:57)
-
Start05 Building Landing Page And Social Media Copy (9:02)
-
Start06 Composing A Comprehensive Email Sequence For Your Funnel (4:49)
-
Start07 Review Analysis And Optimization Of Products And Services (7:24)
-
Start12 01 Project Preview (1:57)
-
StartSource Files
-
Start12.02 Homepage, About Us, And Contact Us Page Copy (10:14)
-
Start12.03 Generate Meta Title And Descriptions (4:58)
-
Start12.04 Website Development With Chatgpt Crash Course (25:32)
-
Start13 01 Project Preview (1:10)
-
Start13.02 Creating Product And Business Names (7:52)
-
Start13.03 Developing Professional Taglines And Slogans For Your Brand (7:32)
-
Start13.04 Writing Product Descriptions For Your Online Store (4:46)
-
Start13.05 Building Faq’S For Services Or Products (4:54)
-
Start14 01 Conclusion (2:08)
-
StartBonus - Tips And Tricks (7:43)
-
Start01.02 What Is Chatgpt And Its Role With C-Level Management (1:35)
-
Start01 01 Course Requirements (1:48)
-
Start01.03 Overview Of Limitations And Capabilities (2:30)
-
Start02 01 Project Preview (1:43)
-
Start02.02 Drafting And Editing Business Content (13:36)
-
Start02.03 Branstorming Content Ideas (12:08)
-
Start02.04 Text Translation (13:39)
-
StartSource files
-
Start03 Source file
-
Start03.01 Project Preview (1:20)
-
Start03.02 Code Writing And Debugging (14:25)
-
Start03.03 Data Analysis And Summarization From Lower-Level Management (12:17)
-
Start04.01 Project Preview (1:49)
-
Start04.02 Generating Work Schedules (17:13)
-
Start04.03 Preparing For Interviews (17:34)
-
Start04.04 Task Delegation With Chatgpt (17:13)
-
Start05 Source files
-
Start05.01 Project Preview (1:14)
-
Start05.02 Writing Clear And Specific Prompts (6:47)
-
Start05.03A Privacy Considerations (11:25)
-
Start05.03B Things To Look At When Working With Chatgpt (9:50)
-
Start05.04 How To Provide Feedback For Continuous Learning (8:54)
-
StartConclusion (2:58)
-
StartTips And Tricks (10:11)
-
Start01b Source Files
-
Start01.01 Course Requirement_1 (3:20)
-
Start02 01 Project Preview_1 (2:03)
-
Start02 02A Analyze Financial Statements Of Stock (9:00)
-
Start02 02B Financial Ratio And Trend Analysis (4:25)
-
Start02 03 Balance Sheet, Income Statement And Cash Flow Statement (9:00)
-
Start02 04 Loopholes And Weaknesses In Stock Financials (8:39)
-
Start02 05 Analyze Historical Stock Performance (11:16)
-
Start02 06 Predict Stock Performance (5:08)
-
Start02 Source Files
-
Start02 07 Market Share_1 (5:31)
-
Start02 08 Industry Analysis (7:48)
-
Start02 09 Management Team Analysis (8:25)
-
Start02 10 Analyze Stock Risks (6:56)
-
Start02 11 Valuation (8:11)
-
Start02 12 Explain Business Model Of A Company (6:24)
-
Start02 13 Perform A Swot Analysis (8:16)
-
Start02 14 Summarize A Company’S Earnings Report Calls (6:55)
-
Start02 15 Evaluate A Company’S Esg Credentials (4:39)
-
Start03 Source Files
-
Start03 01 Project Preview_1 (0:48)
-
Start03 02A Invest Short Term (6:22)
-
Start03 02B Implementing Your Short-Term Investment Strategy (8:06)
-
Start03 03A Invest Long Term (5:58)
-
Start03 03B Analyzing The Results (7:27)
-
Start03 04A Using Chatgpt To Assess Your Risk Tolerance (7:32)
-
Start03 04B Customized Investment Recommendations Based On Individual Financial Goals And Risk Tolerance (5:26)
-
Start03 04C Implementing Your Customized Investment Plan (8:47)
-
Start04 Source Files
-
Start04 01 Project Preview_1 (1:25)
-
Start04.02A Recent Past Stock Market State (7:44)
-
Start04.02B Analyzing Past Trends And Economic Events (9:24)
-
Start04.03A Present Stock Market State (6:29)
-
Start04.04A Future Stock Market State (8:12)
-
Start04.04B Insights On Macroeconomic Factors (7:09)
-
Start05 01 Project Preview_1 (2:22)
-
Start05.02 Analyze Credit Scores (7:56)
-
Start05.03 Assess Loan Applicant Risk (7:35)
-
Start06 01 Project Preview_1 (1:12)
-
Start05 Source Files
-
Start06.02A Pick Stocks With Company Evaluation (6:00)
-
Start06.03A Build A Trading Strategy (8:54)
-
Start06.03B Test Trading Hypthothesis (8:29)
-
Start07 01 Project Preview_1 (1:03)
-
Start07.02 Chatgpt And Sentiment Analysis (8:52)
-
Start07.03 Analyzing Sentiments On Social Media Posts- (8:45)
-
Start08 01 Project Preview_1 (1:03)
-
Start08.02A Fraud Detection With Chatgpt (7:37)
-
Start08.02B Detecting Exploitation Prone Weaknesses (8:01)
-
Start08.03A Red Flags And Anomaly Detection (6:07)
-
Start08.03B Anomaly Detection Techniques (8:01)
-
StartConclusion (2:20)
-
StartSource files
-
Start01 01 Course Requirements_1 (1:38)
-
Start01.02 Understanding Chatgpt (2:34)
-
Start01.03 The Role Of Ai In Sales And Lead Generation (1:53)
-
Start01.04. Overview Of How Chatgpt Can Improve Outreach Strategy (1:34)
-
Start02 01 Project Preview (1:11)
-
Start02.02 How To Make Specific Asks (16:07)
-
Start02.03 Defining Terms For Chatgpt (3:15)
-
Start02.04 Understanding And Setting The Right Tone For Your Messages (13:05)
-
Start02.05 The Limitations Of Ai In Sales And Lead Generation (12:45)
-
Start02.06 How To Utilize Chatgpt Effectively While Being Aware Of Its Limitations (16:09)
-
Start02.07 The Importance Of Checking And Editing Ai Output (6:15)
-
StartSource files
-
Start03 01 Project Preview (1:18)
-
Start03.02 Defining Your Audience For Effective Outreach (19:40)
-
Start03.03 Using Chatgpt To Discover Audience Pain Points And How Your Product Solves Them (11:47)
-
Start03.04 Identifying Common Objections And Questions With Chatgpt (18:56)
-
Start03.05 Generating Cold Call Scripts, Elevator Pitches, And Battle Cards For Discovery Calls (15:16)
-
StartSource files
-
Start05 01 Project Preview (0:59)
-
Start05.02 Understanding The Importance Of Linkedin For B2b Sales3 (3:04)
-
Start05.03A How To Use Chatgpt To Enhance Your Linkedin Sales Strategy (6:56)
-
Start05.03B Chatgpt And Linkedin Usecases (13:17)
-
Start05.03C Handling Lead Response With Chatgpt (6:48)
-
Start05.04 Best Practices For Using Chatgpt With Linkedin Message Templates For Higher Conversions- (8:36)
-
StartSource files
-
Start06 01 Project Preview_1 (1:33)
-
Start06.02A Using Roleplay To Anticipate Pain Points And Objections (5:13)
-
Start06.02B Conversational Role Play (15:14)
-
Start06.03A Advance Techniques For Utilizing Chatgpt In Sales (9:55)
-
Start06.03B Advance Tips For Brainstorming And Analyzing Pain Points (10:25)
-
Start06.03C Secret Prompts For Better Response (18:16)
-
Start07 01 Privacy Considerations (19:27)
-
Start07.02 Feedbacks For Continuous Learning (5:21)
-
StartSource files
-
Start1 1 Course Requirement_1 (1:34)
-
Start02.01.Project Preview (0:57)
-
Start02.02. Sales Key Perfomance Indicators (Kpis) (10:16)
-
Start02.03.Measuring Salesperson Performance Using Kpis (5:48)
-
Start02.04.Marketing And Financial Kpis (6:49)
-
Start02.05.Customer-Related Kpis (10:20)
-
Start03.01.Project Preview (0:38)
-
Start03.02.Case Study Involving Kpis (3:09)
-
Start03.03. Joining Data Tables In Excel (7:28)
-
Start03.04.Cleaning Data Using Filters In Excel (5:19)
-
Start03.05.Determining Lead Conversion Time (7:18)
-
Start04.01. Project Preview_1 (1:19)
-
StartSource files
-
Start04.02. Aggregating Data By Regions, Categories, And Time Dimension (6:25)
-
Start04.03.Evaluating Salesperson Performance (13:59)
-
Start05.01. Project Preview (1:18)
-
Start05.02.Creating Charts To Visualize Sales Data (8:08)
-
Start05.03.Charting Region-Wise Percentage Contribution (6:22)
-
Start05.04.Charting Category-Wise Average Order Value (5:47)
-
Start05.05.Analyzing Lead Generation Trends (7:54)
-
Start05.06.Analyzing Salesperson Performance (6:26)
-
Start05.07.Building A Sales Dashboard (6:22)
-
Start05.08. Additional Charts For Sales Modeling (8:33)
-
Start06 01 Project Preview (1:33)
-
StartSource file
-
Start06.02.Building The Whale Model (6:47)
-
Start06.03.Lead Segmentation Using Decision Trees (6:53)
-
Start06.04.Excel Preparation For Analysis (6:52)
-
Start06.05.Case Study On Lead Segmentation (5:05)
-
Start06.06.Building A Model In Excel (9:38)
-
Start06.07.Interpreting Results From Tree Nodes (5:25)
-
Start06.08.Interpreting Results Based On Classification Criteria (5:23)
-
Start06.09.Drawing Inferences From Model Results (5:30)
-
Start06.10.Making Predictions Using The Trained Model (3:19)
-
Start06.11.Advanced Customization Options For Models (4:37)
-
Start07 01 Project Preview (1:05)
-
Start07.02.Market Basket Analysis For Cross-Selling Opportunities (11:01)
-
Start07.03.Predicting Values Using The Trained Model (6:27)
-
Start08 01 Project Preview_1 (3:11)
-
StartSource files
-
Start08.02.Modeling Trends And Seasonality (10:03)
-
Start08.03.Additive And Multiplicative Time Series Models (9:30)
-
Start08.04.Linear Regression Model For Sales Forecasting (7:43)
-
Start08.05.Preprocessing Data For Regression (12:14)
-
Start08.06.Building A Linear Regression Model (8:27)
-
Start08.07.Predicting Values Using The Trained Model (8:26)
-
Start08.08.Using Xlstat For Forecasting (7:56)
-
Start09 01 Project Preview (1:52)
-
Start09.03.Predicting Churn Probability Using The Trained Model (11:05)
-
Start09.04.Evaluating Model Accuracy Using A Confusion Matrix (12:28)
-
StartSource Code
-
Start1 Introduction & Role Of Prompts In Chatgpt Conversations (8:14)
-
Start2. Benefits Of Clear Prompts (4:23)
-
Start3. Examples Of Good And Bad Prompts (11:18)
-
Start4. The 4-Step Approach To Write The Best Prompts Part 1 (6:57)
-
Start5. The 4-Step Approach To Write The Best Prompts Part 2 (5:37)
-
Start6. Example Python Prompts Mehdi Ali (14:40)
-
Start07. Unit Testing Any Python App (20:28)
-
StartSource files
-
Start01 OpenAI API Models To Work With (2:53)
-
Start02 How OpenAI API Works (2:09)
-
Start03 Adjust OpenAI API Model Parameters (7:58)
-
Start04 Use Openai Api To Answer Questions Like Chatgtp (10:19)
-
Start05 Correct Grammar With Openai Api (3:30)
-
Start06 Summarize And Simplify Text With Openai Api (4:03)
-
Start07 Translate Text With Openai Api (3:04)
-
Start08 Generate Code With Openai Api (7:11)
-
Start09 Explain Code With Openai Api (5:24)
-
Start10 Calculate Time Complexity With Openai Api (3:40)
-
Start11 Translate Programming Languages With OpenAI API (4:24)
-
Start12 Fix Bugs In Code With Openai Api (3:19)
-
Start13 Generate Sql Queries With Openai Py (5:15)
-
Start14 Build Structured Table Data From Long Form Text (4:29)
-
Start15 Classify Items Into Categories With Openai Api (4:50)
-
Start16 Generate Spreadsheets And Lists With Chatgpt Openai Api (5:46)
-
Start01 Convert Notes To Summary With Openai Api (5:40)
-
StartSource files
-
Start02 Add Emotional Sentiment To Text With Openai Models (9:40)
-
Start03 Generate Questions On A Topic With Gpt Turbo (9:26)
-
Start04 Generate Text Conversation With Chatgpt Api (5:19)
-
Start05 Classify Text Emotion Sentiment With Chatgpt Models (5:09)
-
Start06 Extract Keywords From Text With Chatgpt Api (4:31)
-
Start07 Convert Product Description To Ad With Chatgpt Python (3:57)
-
Start08 Generate Product Names With Chatgpt In Python (4:04)
-
Start09 Extract Information From Text With Chatgpt Api (2:57)
-
Start06-01 Build Html Parser With Python (4:31)
-
StartSource files
-
Start06-02 Scrape Hyperlinks From Url Webpage With Python (4:09)
-
Start06-03 Filter Out Urls Not Part Of Domain (7:03)
-
Start06-04 Save Web Content To Files With Python (10:07)
-
Start07-01 Convert Text To Csv With Python (6:36)
-
Start07-02 Remove Whitespace And Lines From Text With Python (4:58)
-
Start07-03 Tokenize Text With Python For Machine Learning Models (2:50)
-
Start07-04 Split Long Lines With Python (4:11)
-
Start07-05 Split Pandas Dataframe Into Sections With Python (7:19)
-
Start07-06 Embed Text For Machine Learning With Openai Api (8:05)
-
Start08-01 Embed Question With Python (5:48)
-
Start08-02 Answer Questions About Your Data With Customized Openai Model (10:36)
-
StartSource files
-
Start09-01 Load And Read Pdf In Python (3:40)
-
Start09-02 Build Vector Index From Pdf Text In Python (4:32)
-
Start09-03 Answer Questions About Pdf With Chatgpt Model In Python (5:10)
-
Start10-01 Generate Review Data With Chatgpt Api (8:14)
-
Start10-02 Format Python Text To Multidimensional Pandas Dataframe (11:50)
-
Start10-03 Change Column Data Type In Pandas Dataframe (2:40)
-
Start10-04 Embed Text Data With Openai Api (6:25)
-
Start01 Filter By Performance Rating With Power Query_1 (7:12)
-
StartSource
-
Start02 Categorize Performance With Power Query (5:49)
-
Start03 Compare Employee Performance With Location And Education (14:57)
-
Start04 Find Top Performing Employees With Power Query (10:26)
-
Start05 Calculate Performance For Age Groups (5:35)
-
StartSource files
-
Start00 Project Preview - Python Machine Learning With Chatgpt (2:03)
-
Start01 What Kinds Of Machine Learning Can I Do On This Data (2:16)
-
Start02 Build A Linear Regression Model For Credit Card Dataset (8:35)
-
Start02B Visualize Linear Regression Training With Gif (10:43)
-
Start03 Logistic Regression With Confusion Matrix And Scatter Plot (14:26)
-
Start01 Algorithms To Handle Missing Data (5:13)
-
StartSource
-
Start02 Generate Excel Data With Missing Data In Python And Chatgpt (3:22)
-
Start03 Fill In Missing Excel Data With Python Imputation And Chatgpt (3:51)
-
Start04 Delete Missing Excel Data With Python And Chatgpt (5:03)
-
Start05 Fill In Missing Data With KNN Imputation (5:24)
-
StartSource
-
Start01 Measures Of Central Tendency In Data (5:00)
-
Start02 Measures Of Variability In Data (4:09)
-
Start03 What Is Skewness In Data Science (3:38)
-
Start04 Generate Skewed Datasets With Chatgpt (7:44)
-
Start05 What Are Covariance And Correlation Data Measurements (2:37)
-
Start06 Measure Covariance And Correlation Of Dataset With Chatgpt (6:50)
-
StartSource Files
-
Start01-01 Build Patterns And Responses Training Data (6:34)
-
Start01-02 Tokenize Chat Data For Training (4:30)
-
Start02-01 Clean Chat Data For Machine Learning (3:04)
-
Start02-02 Build Bag Of Words For Ml Model (4:24)
-
Start02-03 Split Data For Machine Learning (3:34)
-
Start03-01 Build A Tensorflow Machine Learning Model For Chat (4:54)
-
Start03-02 Test Chatbot Machine Learning Model (9:09)
-
Start03-03 Categorize Chat Question With Ml (7:25)
-
Start03-04 Pick A Chatbot Response In Top Category (8:18)
-
Start01 Connect To Google Drive Dataset In Colab (3:48)
-
Start02 Read Text Files In Python (9:17)
-
Start03 Read Movie Conversation Text File In Python (10:58)
-
Start04 Clean Text Data For Nlp (6:09)
-
Start05 Remove Contractions From Text Data With Python (9:35)
-
Start06 Preprocess Text Data For Transformer Chatbot Ml (6:16)
-
Start01 Source files
-
Start02 Build Custom Ml Model Learning Rate (3:37)
-
Start01 Combine Encoding And Decoding In Nn (7:08)
-
Start03 Build Custom Model Loss Function (3:17)
-
Start04 Compile Neural Network With Python (4:30)
-
Start04B Zero Out Padding Tokens In Attention (1:44)
-
Start05 Limit And Pad Tokenized Sentences (5:30)
-
Start08 Source files
-
Start01 Bubble Sort Algorithm Python (9:11)
-
StartSource Code
-
Start02 Selection Sort Algorithm Python (5:56)
-
Start03 Insertion Sort Algorithm Python (4:29)
-
Start04 Quicksort Algorithm Python (4:29)
-
Start05 Merge Sort Algorithm Python (7:25)
-
Start06 Time Complexity Of Different Sorting Algorithms (2:55)
-
Start01-00. Intro (1:54)
-
Start00. Course Intro (5:09)
-
Start01-01. What Is Machine Learning (17:47)
-
Start01-02. Types Of Machine Learning(1) (10:48)
-
Start01-03. Building A Machine Learning Model(1) (17:02)
-
Start02-00. Intro (2:44)
-
Start02-01. How To Choose An Algorithm(1) (16:42)
-
Start02-02. Common Machine Learning Algorithms Part 1 (15:58)
-
Start02-03. Common Machine Learning Algorithms Part 2 (22:52)
-
Start02-04. Common Machine Learning Algorithms Part 3 (13:03)
-
Start02-05. Comparison Interview Questions (16:20)
-
Start03-00. Intro (2:08)
-
Start03-01. Data Related Errors (16:55)
-
Start03-02. Model Related Errors (11:34)
-
Start03-03. Results Testing Techniques (11:18)
-
Start04-00. Intro (2:14)
-
Start04-01. Missing_Corrupted Data (5:08)
-
Start04-02. Selecting Important Variables (3:18)
-
Start04-03. Fixing Multicollinearity- (3:56)
-
Start04-04. Kernel Tick (3:21)
-
Start04-05. Slow Machine_Limited Memory (4:59)
-
Start04-06. Classification And Random Sampling (3:38)
-
Start04-07. Low Training Error With High Validation Error (4:40)
-
Start04-08. Cross Validation On Time Series Data (3:39)
-
Start04-09. Amazon Recommendation System (5:26)
-
Start05. Course Summary And Outro (3:12)
-
StartSource Files
-
Start00 Data Generation And Manipulation Question Overview (8:14)
-
StartSource files
-
Start01 Generate Property Data With Pandas (9:20)
-
Start02 Generate Data Within Range (6:43)
-
Start03 Generate Property Type With Probabilities (2:24)
-
Start04 Generate Number Of Rooms Based On Property Type (7:20)
-
Start00A Course Overview (1:18)
-
StartSource Files
-
Start01A Question - Find Maximum Sum Subarray Of Size K (2:00)
-
Start01B Find Maximum Sum Subarray Of Size K (5:18)
-
Start01C Explanation - Find Maximum Sum Subarray Of Size K (4:00)
-
Start02A Question - Find Smallest Subarray With Given Sum (2:06)
-
Start02B Find Smallest Subarray With Given Sum (5:50)
-
Start02C Explanation - Find Smallest Subarray With Given Sum (3:41)
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Start03A Question - Find Pair With Target Sum (1:17)
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Start03B Find Pair With Target Sum (5:29)
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Start03C Explanation - Find Pair With Target Sum (2:39)
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Start04A Question - Remove Duplicates From List (1:26)
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Start04B Remove Duplicates From List (3:30)
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Start04C Explanation - Remove Duplicates From List (3:37)
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Start05A Question - Remove Targets From Array (1:17)
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Start05B Remove Targets From Array (3:50)
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Start05C Explanation - Remove Targets From Array (2:53)
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Start06A Question - Square A Sorted Array (1:40)
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Start06B Square A Sorted Array (4:55)
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Start06C Explanation - Square A Sorted Array (5:11)
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Start03C-01A Question - Cyclic Sort (1:36)
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Start03A Course Overview (1:24)
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Start03C-01B Cyclic Sort (4:19)
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Start03C-01C Explanation - Cyclic Sort (5:00)
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Start03C-02A Question - Find Duplicate Number (1:06)
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Start03C-02B Find Duplicate Number (3:32)
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Start03C-02C Explanation - Find Duplicate Number (2:49)
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Start03C-03A Question - Find Duplicate Without Modifying Array (1:45)
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Start03C-03B Find Duplicate Without Modifying Array (4:43)
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Start03C-03C Explanation - Find Duplicate Without Modifying Array (4:50)
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Start03C-04A Question - Find All Duplicate Numbers (0:59)
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Start03C-04B Find All Duplicate Numbers (3:47)
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Start03C-04C Explanation - Find All Duplicate Numbers (6:51)
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Start03C-05A Question - Find Missing Number (1:07)
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Start03C-05B Find Missing Number (4:23)
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Start03C-05C Explanation - Find Missing Number (9:18)
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Start03C-06A Question - Find All Missing Numbers (1:12)
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Start03C-06B Find All Missing Numbers (3:32)
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Start03C-06C Explanation - Find All Missing Numbers (7:46)
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Start03C-07A Question - Find Corrupt Pair (1:14)
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Start03C-07B Find Corrupt Pair (4:00)
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Start03C-07C Explanation - Find Corrupt Pair (4:52)
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StartSource Files
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Start06C-01A Question - Traverse Binary Tree Level Order (2:34)
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Start06A Course Overview (1:24)
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Start06C-01B Traverse Binary Tree Level Order (6:49)
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Start06C-01C Explanation - Traverse Binary Tree Level Order (4:54)
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Start06C-02A Question - Traverse Binary Tree Reverse Level Order (1:58)
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Start06C-02B Traverse Binary Tree Reverse Level Order (7:01)
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Start06C-02C Explanation - Traverse Binary Tree Reverse Level Order (4:20)
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Start06C-03A Question - Find Level Averages In Binary Tree (1:16)
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Start06C-03B Find Level Averages In Binary Tree (7:30)
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Start06C-04A Question - Find Level Order Successor (1:53)
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Start06C-04B Find Level Order Successor (8:11)
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Start06C-05A Question - Find Minimum Depth Of Binary Tree (1:33)
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Start06C-05B Find Minimum Depth Of Binary Tree (5:29)
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Start06C-06A Question - Find Maximum Depth Of Binary Tree Traversing All Levels (0:59)
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Start06C-06B Find Maximum Depth Of Binary Tree Traversing All Levels (5:33)
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Start06C-07A Question - Find Right View Of Binary Tree (1:15)
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Start06C-07B Find Right View Of Binary Tree (6:27)
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Start04A Course Overview (1:14)
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StartSource Files
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Start04C-01A Question - Find Top K Numbers (0:47)
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Start04C-01B Find Top K Numbers (4:03)
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Start04C-01C Explanation - Find Top K Numbers (2:44)
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Start04C-02A Question - Find Kth Smallest Number (1:03)
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Start04C-02B Find Kth Smallest Number (4:32)
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Start04C-02C Explanation - Find Kth Smallest Number (2:16)
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Start04C-02C Explanation - Find Kth Smallest Number_1 (2:16)
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Start04C-03A Question - K Closest Points To Origin (1:03)
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Start04C-03B K Closest Points To Origin (7:59)
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Start04C-03C Explanation - K Closest Points To Origin (2:01)
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Start04C-04A Question - Find Minimum Cost To Connect Ropes (2:00)
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Start04C-04B Find Minimum Cost To Connect Ropes (4:42)
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Start04C-04C Explanation - Find Minimum Cost To Connect Ropes (2:11)
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Start05A Course Overview (1:14)
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StartSource Files
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Start06-01A Question - Is Linked List Cycle (1:15)
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Start06-01B Is Linked List Cycle (5:01)
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Start06-01C Explanation - Is Linked List Cycle (2:41)
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Start06-02A Question - Find Length Of Linked List Cycle (1:17)
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Start06-02B Find Length Of Linked List Cycle (6:25)
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Start06-02C Explanation - Find Length Of Linked List Cycle (3:43)
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Start06-03A Question - Find Middle Node Of Linked List (1:08)
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Start06-03B Find Middle Node Of Linked List (4:25)
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Start06-03C Explanation - Find Middle Node Of Linked List (1:36)