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The Complete Python, Machine Learning, Generative AI Bundle+
▶️ Level 1: Python Basics 😃💻
01. Intro To Python (5:46)
01.01 What Is Google Colab (4:24)
01.02 What If I Get Errors (2:40)
01.03 How Do I Terminate A Session (2:40)
02. Variables (19:17)
03. Type Conversion Examples (10:04)
04. Operators (7:04)
05. Operators Examples (21:52)
06. Collections (8:23)
07. Lists (11:38)
08. Multidimensional List Examples (8:05)
09. Tuples Examples (8:34)
10. Dictionaries Examples (14:24)
11. Ranges Examples (8:30)
12. Conditionals (6:41)
13. If Statement Examples (10:16)
14. If Statement Variants Examples (11:18)
15. Loops (7:00)
16. While Loops Examples (11:30)
17. For Loops Examples (11:18)
18. Functions (7:47)
19. Functions Examples (9:16)
20. Parameters And Return Values Examples (13:46)
21. Classes And Objects (11:13)
22. Classes Example (13:11)
23. Objects Examples (9:54)
24. Inheritance Examples (17:26)
25. Static Members Example (11:03)
26. Summary And Outro (4:06)
▶️ Level 2: Advanced Python Projects 🐍🖥️
00. Course Intro (6:10)
Intro to Tensorflow - Source Files
01. Intro To Tensorflow (5:33)
02. Installing Tensorflow (3:52)
03. Intro To Linear Regression (9:26)
04. Linear Regression Model - Creating Dataset (5:49)
05. Linear Regression Model - Building The Model (7:22)
06. Linear Regression Model - Creating A Loss Function (5:57)
07. Linear Regression Model - Training The Model (12:43)
08. Linear Regression Model - Testing The Model (5:22)
09. Summary And Outro (2:55)
Data Science with Python and NumPy
Source Files
00. Course Intro (5:11)
01. Intro To Numpy (6:21)
02. Installing Numpy (3:59)
03. Creating Numpy Arrays (16:55)
04. Creating Numpy Matrices (11:57)
05. Getting And Setting Numpy Elements (16:59)
06. Arithmetic Operations On Numpy Arrays (11:56)
07. Numpy Functions Part 1 (19:13)
08. Numpy Functions Part 2 (12:36)
09. Summary And Outro (3:01)
Machine Learning Theory
00. Course Intro (6:05)
01. Quick Intro To Machine Learning (9:01)
02. Deep Dive Into Machine Learning (6:01)
03. Problems Solved With Machine Learning Part 1 (13:26)
04. Problems Solved With Machine Learning Part 2 (16:25)
05. Types Of Machine Learning (10:15)
06. How Machine Learning Works (11:40)
07. Common Machine Learning Structures (13:51)
08. Steps To Build A Machine Learning Program (16:34)
09. Summary And Outro (2:49)
Intro to Machine Learning Slides
Review Sentiment Analysis
00. Course Intro (6:19)
Source Files
01. How Machines Interpret Text (15:23)
02. Building The Model Part 1 - Examining Dataset (12:27)
03. Building The Model Part 2 - Formatting Dataset (15:14)
04. Building The Model Part 3 - Building The Model (10:30)
05. Building The Model Part 4 - Training The Model (5:42)
06. Building The Model Part 5 - Testing The Model.Mp4 (9:26)
07. Course Summary And Outro (3:29)
Learn to Graph Data with Python and Matplotlib
00. Course Intro (5:30)
Pyplot Code
01. Intro To Pyplot (5:11)
02. Installing Matplotlib (5:52)
03. Basic Line Plot (7:53)
04. Customizing Graphs (10:47)
05. Plotting Multiple Datasets (8:10)
06. Bar Chart (6:26)
07. Pie Chart (9:13)
08. Histogram (10:14)
09. 3D Plotting (6:28)
10. Course Outro (4:09)
Complete Beginners Data Analysis with Pandas and Python
Source Files
00. Panda Course Introduction (5:43)
01. Intro To Pandas (7:55)
02. Installing Pandas (5:28)
03. Creating Pandas Series (20:34)
04. Date Ranges (11:29)
05. Getting Elements From Series (19:21)
06. Getting Properties Of Series (13:04)
07. Modifying Series (19:02)
08. Operations On Series (11:48)
09. Creating Pandas Dataframes (22:57)
10. Getting Elements From Dataframes (25:12)
11. Getting Properties From Dataframes (17:44)
12. Dataframe Modification (36:24)
13. Dataframe Operations (20:09)
14 Dataframe Comparisons And Iteration (15:35)
15. Reading Csvs (12:00)
16. Summary And Outro (4:14)
Python and Flask Web Development Bootcamp
Source Files
00A Project Preview (4:13)
00B What Is Flask (3:45)
00C What You-ll Need (1:49)
01 01 Build Your First Flask App (13:26)
01 02 Render HTML On Multiple Pages (10:53)
01 03 Build Page Templates With HTML (9:31)
01 04 Build Dynamic Page Templates (5:36)
01 05 Display JSON Data (5:21)
01 06 Build A Template To Show All Data (9:16)
Python and SQLite Bootcamp - Learn to Build Databases
Source Files
00A Project And Database Preview (2:37)
01 What You'll Need (1:54)
00B What Is SQLite (4:01)
01 Create A Database (4:00)
02 Build Database Tables (5:25)
03 Insert Records (9:18)
04 Select Records (5:48)
05 Connect To A Database (3:19)
06 Build A Row From User Input (10:27)
07 Check If Entry Already Exists (5:39)
08 Introduction To SQL Joins (3:53)
09 Build SQL Joins (11:32)
PySpark - Build DataFrames with Python, Apache Spark and SQL
Source Files
00 Project Preview (2:33)
01 What Is Apache Spark (2:37)
02 What Are Resilient Distributed Datasets (1:08)
03A What Is A Dataframe (1:47)
03B What You-ll Need (1:47)
04 Start A Spark Session (3:47)
05 Load Data As A CSV (6:02)
06 Perform Basic Dataframe Operations (4:02)
07 Format Dataframe Table (5:14)
08 Perform Dataframe Math Operations (7:32)
09 Perform Dataframe Queries (14:22)
10 Build SQL Queries With Spark (7:24)
Scrape the Web - Python and Beautiful Soup Bootcamp
01 What You-ll Need (1:30)
00 What Is Web Scraping (5:39)
02 Build An Html Webpage To Scrape (12:42)
03 Select Data Structures From A Webpage (5:48)
04 Extract Urls And Text (5:24)
05 Work With Tags (8:06)
06 Work With Attributes (5:19)
07 Add Navigation To A String (5:29)
08 Navigate Html Contents (7:16)
09 Find All Filter (4:52)
Source Files
Build Interactive Python Dashboards with Plotly and Dash
01 Project Preview (1:39)
Source Files
02 What Is Plotly And Dash (3:59)
03 What You'll Need (2:09)
04 Build A Dash App (11:44)
05 Build A Graph In The Dash App (12:05)
06 Load Data From Vega Datasets (5:33)
07 Build The Layout (10:27)
08 Build A Chart With Altair (11:56)
Data Mining with Python and NumPy - Build a Video Recommender System
00 Project Preview (2:48)
Source Files
01 Build A Dataset (23:44)
02 Compute Support And Confidence - If A Person Watches X, They Will Watch Y (10:06)
03 Compute Support And Confidence For All Channels (14:21)
04 Determine Which Videos Are Best To Recommend (9:57)
▶️ Level 3: Machine Learning with Python 🌍🧠
00A What Is Machine Learning (5:26)
00B Types Of Machine Learning Models (12:17)
00C What Is Supervised Learning (11:04)
00D What Is Unsupervised Learning (8:17)
01 How Does A Machine Learning Agent Learn (7:38)
02 What Is Inductive Learning (4:11)
03 Performance Of A Machine Learning Algorithm (4:14)
04 Handle Noise In Data (5:22)
05 Powerful Tools With Machine Learning Libraries- (12:11)
Beginner Data Science and Machine Learning Bootcamp
01 Create A Dataset (5:17)
01 Project Preview (3:29)
02 Vectorize Text (16:27)
03 Build A Word Cloud (7:08)
04 Reduce Data Dimensionality With Principal Component Analysis (6:08)
05 Perform Unsupervised Classification With K-Means Clusters (17:33)
Source Files
Machine Learning Fundamentals
03-01 Probability And Information Theory Overview (5:15)
00 Course Overview (13:46)
03-02 Combinatorics For Probability (8:44)
03-03 Law Of Large Numbers (10:38)
03-04 Calculate Center Of Distribution (7:40)
04-01 Uniform Distribution (5:25)
04-02 Gaussian Distribution (3:45)
04-03 Log-Normal Distribution (3:28)
04-04 Exponential Distribution (3:04)
04-05 Laplace Distribution (1:54)
04-06 Binomial Distribution (9:05)
04-07 Multinomial Distribution (3:59)
04-08 Poisson Distribution (4:21)
05 Calculate Error Of Machine Learning Model (8:44)
Source Files
Data Engineering and Machine Learning Masterclass
00-00 What Is Python (4:48)
Source Files
00-01. Intro To Python (4:37)
00b-00 Course Overview (3:26)
03-01 Load And Clean A Public Dataset (8:55)
03-01B What Is One-Hot Encoding (10:02)
03-02 Build X And Y Data With One Hot Encoding (4:57)
03-03 Logistic Regression With One Hot Encoding (2:20)
04-04 Scale And Encode Data With Scikit-Learn (3:47)
04-04 What Is Scaling Data (6:36)
04-05 Build, Train And Test A Machine Learning Model (4:37)
05-01 Compare Decision Tree And Linear Regression Models (6:26)
05-01C What Is The Kbins Discretizer (4:54)
05-02 Bin Data With Kbins Discretizer (3:42)
05-03 Compare Binned Regression Models (3:39)
05-04 Build A Linear Regression Model On Stacked Data (3:20)
05-05A What Is K Means Clustering (11:58)
06-01 Build Univariate Nonlinear Transformatio (1:55)
06-01 What Is Gaussian Probability Distribution- (2:31)
06-01B What Is Poisson Distribution (1:08)
06-02 Build X Y Data With Poisson Distribution In Numpy (3:34)
06-02C What Is Logarithmic Data Transformation (2:34)
06-03 Build A Ridge Regression Model (3:41)
Build Machine Learning Models
00-01 Introduction To Recommender Systems (9:08)
Source Files
00-02 How To Evaluate Recommender Systems (14:54)
00-03 Content Based Recommendations (4:37)
00-04 Neighborhood Based Collaborative Filtering (2:22)
01-00 Project Preview (1:59)
01-01 Load Data As Pandas Dataframes (12:17)
01-02 Merge Movies And Ratings Dataframes (8:30)
01-03 Build A Correlation Matrix (6:20)
01-04 Test The Recommender (6:55)
Mastering the Basics: Constructing a Movie Recommendation System using Machine Learning
00 Project Preview (4:51)
Source files
00A What Is Machine Learning (5:26)
00B Types Of Machine Learning Models (12:17)
00C What Is Supervised Learning (11:03)
01 Load Data Into Dataframes (6:50)
02 Find A Recommendation Based On Different Movie Features (16:03)
03 Calculate Distance Between Users (5:59)
04 Find Similar Users With Euclidean Distance (9:26)
05 Define Similarity Between Users (6:29)
06 Find Top Similar Users (8:05)
07 Recommend A Movie Based On User Similarity (8:08)
08A What Is K Nearest Neighbours (8:07)
08B Recommend A Movie With A K Nearest Neighbors Classifier (12:23)
09 Create A Sample User For Testing (11:09)
10 Recommend Movies To Sample User (3:08)
Machine Learning User Recommendations with Profiles and Items
08-01 Load Data For Machine Learning (15:14)
00 Project Preview (4:38)
08-02 Process Data For Machine Learning (11:25)
08-03 Build Categories (9:31)
09-04A Regression Introduction (8:58)
09-04B What Is Regression (19:55)
09-04C Build A Ridge Regression Model (13:43)
09-05 Evaluate Model Error (7:04)
09-06 Visualize Top Features Affecting Rating (11:27)
09-07 Build A Lasso Regression Model (8:01)
09-08 Visualize Top Features From Lasso Regression (8:07)
09-09 Determine Which Model Is Best (3:28)
10-01 Load Data For A Neural Network (9:16)
10-02 Build A Singular Value Decomposition Algorithm (10:14)
10-03 Calculate Model Error (11:27)
Build a Dense Neural Network to Recommend Movies
Source Files
11-01 What Is Deep Learning (7:42)
11-02 What Is A Neural Network (8:47)
11-03 What Is Unsupervised Learning (8:17)
12-04 Build A Neural Network (15:16)
12-05 Train The Neural Network (12:27)
13-00 Project Preview (2:38)
13-01 Load Data Into Dataframes (5:28)
13-02 Explore Data In Our Dataset (3:49)
13-03 Build A Rating Pivot Table (5:22)
13-04 Calculate Average Rating Of A Movie (5:51)
13-05 Find Ratings For A Movie In Every Slice (6:17)
13-06 Find Rating Averages For Every Movie In The Slice (7:54)
13-07 Build An Average Ratings Column (13:25)
Python Chatbot Bootcamp with Pandas, NumPy and SciKit (Natural Language Processing - Build 2 Chatbots)
01 Projects Preview (4:49)
Source Files
02 What Is Natural Language Processing (5:39)
03 What Is Text Vectorization (7:34)
04 Train A Vectorizer (8:50)
05 Chat With The User (11:04)
06 Define A Basic Intent Classifier (7:42)
07 Define A Basic Generative Model (4:05)
08 Test The Chatbot (9:33)
Python Data Analysis Bootcamp with Pandas and NLTK - Natural Language Processing
00 Project Preview (3:38)
Source Files
01 Convert Csv File To A Python List (13:49)
02 Tokenize Text Data (26:25)
03 Find Most Popular Lemmatized Words (11:36)
04 Build Dataframes Per Part Of Speech (3:56)
05 Plot Word Frequency (9:09)
Beginner Data Science and Machine Learning Bootcamp (Sentiment Analysis with Unsupervised Classification with Python, Pandas, NumPy, Matplotlib and SciKit-Learn)
01 Project Preview (3:29)
04-01 Create A Dataset (5:17)
04-02 Vectorize Text (16:27)
04-03 Build A Word Cloud (7:08)
04-04 Reduce Data Dimensionality With Principal Component Analysis (6:08)
04-05 Perform Unsupervised Classification With K-Means Clusters (17:33)
Source Files
▶️ Level 4: Generative AI Mastery 🎨🤖
02 Intro To Prompt Engineering-Prompt Types (8:28)
Source Files
01 What Is Chatgpt (7:50)
03 Intro To Prompt Engineering-Effective Prompts (8:41)
04 Project Preview (2:04)
05 Simplify Complex Information (8:38)
06 Simplify Complex Information-Other Strategies (8:41)
Automate business tasks with ChatGPT Prompt Engineering
Source Files
02 03 Proofread-Email And Business Proposals (8:39)
02.03 Proofread-More Use Cases (8:24)
02.04 Re-Organize Data-Benefits And First Sample Use Case (6:22)
02.04 Re-Organize Data-Potential Use Cases Case (10:44)
02.05 Work With Spreadsheets-Automating Data Entry (7:46)
02.05 Work With Spreadsheets-Formulas And Other Use Cases (7:31)
ChatGPT for Marketing Automation
01 Project Preview (1:23)
02 Create Content (4:03)
03 Social Media (4:26)
04 Write Ad Copy (8:17)
05 Write Email Marketing Campaigns (4:55)
06 Write An Outreach Message (5:08)
07 Copyrighting (4:29)
08 Seo (5:09)
09 Video Scripts (8:49)
10 Generate Text In Your Writing Style (3:25)
ChatGPT Prompts for Research, Copywriting and Career Prep
02 Research-Chatgpt Usecase And Benefits (7:05)
01 Project Preview (1:51)
02B Research-More Examples And Explanation (7:49)
03 Write An Article-Add Role To Chatgpt (7:17)
03B Write An Article-Generate High Quality Content (8:02)
04 Check Plagiarism (10:56)
05 Prepare For Job Opportunities-Cv And Cover Letter (8:28)
05B Prepare For Job Opportunities-Interview Questions, Connection And Task Generator (8:36)
Automate Coding with ChatGPT Prompts
02 Generate Code-Javascript And Python Code Snippets (9:26)
01 Project Preview (2:33)
02B Generate Code-Stylesheet, Html, C++ And Conversion (9:20)
03 Build Algorithms-Algorithm To Pseudocode (4:03)
03B Build Algorithms-Realworld Use Cases (8:11)
04 Debug-Python Use Case (6:51)
04B Debug-React, Api, Javascript, Html And Css (6:56)
05 Write Code Documentation (9:51)
06 Use Chatgpt As A Linux Terminal (8:32)
07 Use Chatgpt As A Unix Terminal (9:08)
08 Use Chatgpt As A Microsoft Dos Terminal (5:28)
09 Use Chatgpt To Suggest Uxui Designs (8:10)
10 Use Chatgpt To Suggest Cybersecurity Solutions (10:05)
Automate Excel with ChatGPT
Source File
01 01 Course Requirement (2:31)
02 01 Project Preview (1:36)
02.02A Set Up Excel Spreadsheet With Gpt Add-In (8:37)
02.02B Excel With Chatgpt (4:51)
02.03 Write Excel Formulas With Chatgpt (9:39)
02.04 Use Chatgpt Formulas In Excel (16:18)
Build Investment Dashboard with ChatGPT and Excel
Source file
03 01 Project Preview (1:27)
03.02A Set Up Dashboard (7:51)
03.02B Set Up Data (7:11)
03.03A Use Chatgpt And Excel To Build An Investment Dashboard (11:37)
03.03B Generate More Formulas For Excel (11:34)
03.03C Placing Data On Dashboard (10:30)
Sales Automation with ChatGPT and Excel
Source file
04 01 Project Preview_1 (2:10)
04.02A Project Setup - Product Worksheet (11:59)
04.02B Setup Sales And Summary Sheet (9:22)
04.03A Build Advanced Chatgpt Excel Project (13:00)
04.03B Automating Product Name And Price Data (13:11)
04.03C Completing Sales Sheet Automation With Chatgpt (9:32)
04.03D Building Sales Overview Dashboard (8:37)
04.03E Refining The Pos System (11:14)
Automate Business Writing with ChatGPT
Source file 05
01 Project Preview (2:18)
02 Meeting Agendas And Minutes (10:25)
03 Write A Business Proposal (11:18)
04 Build A Business Report (11:12)
05 Build A Business Plan (10:35)
06 Build A Business Performance Appraisal (10:39)
07 Build A Business Presentation (12:40)
08 Summarize Business Documents (11:44)
09 Write Job Descriptions (8:33)
10 Build White Papers (9:38)
11 Build Employee Handbooks (8:44)
12 Build Business Manuals (9:24)
Automate Social Media Business with ChatGPT
Source file
01 Project Preview (1:16)
02 Set Up Project (8:06)
03A Advanced Chatgpt 4 Business Project (10:10)
03B Chatgpt And Social Bee Side By Side (10:16)
03C Finishing Touches (12:26)
Introduction to ChatGPT 4 Prompts for Marketing
01. Source Files
00 Introduction Of The Instructor (1:53)
01 Setting Up Your Chatgpt Account - A Step-By-Step Guide (6:04)
02 Tips For Getting The Best Responses From Chatgpt (9:55)
03 Building A Marketing Campaign Content Calendar With Chatgpt (10:34)
04 The Importance Of Identifying Your Target Audience_1 (3:08)
05 Using Chatgpt For Target Audience Research And Assessment (11:54)
Build Social Media and Blog Posts with ChatGPT 4 Prompts
Source Files
01 Project Preview (1:21)
02 Exploring Social Media Marketing And Automation (5:59)
03 Generating Social Media Posts (10:38)
04 Social Media Automation Tool - Socialbee - -Bonus- (6:40)
05 Automating Social Media Post Scheduling - -Bonus- (8:26)
06 Automating Social Media Reposting - -Bonus- (8:28)
07 Configuring Your Social Media Automation Timetable – -Bonus- (4:00)
08 Project Preview (1:11)
09 Generate Optimized Keywords And Blog Headlines (7:39)
10 Building An Seo-Enhanced Blog Post Quickly (10:07)
Build Emails, Ads and Videos with ChatGPT 4 Prompt Engineering
01 Introduction To Email Marketing And Its Significance (3:37)
Source Files
02 Building Effective Email Sequences (7:27)
03 Crafting Sales Page Copy (8:05)
04 Project Preview (1:07)
05 Producing Facebook Ads (10:00)
06 Generating Google Ads (9:44)
07 Generate Ads For Instagram And Twitter (7:36)
08 Project Preview (1:09)
09 Generating Unlimited Video Concepts (10:33)
10 Crafting A Full Youtube Video Script (10:00)
11 Youtube Seo Strategies (8:54)
Build Marketing Funnels and Analyze Customers with ChatGPT 4
01 Project Preview (1:26)
Source Files
02 Guides To Building Effective Marketing Funnels (4:01)
03 Defining Your Buyer Persona (9:38)
04 Generating A Lead Magnet (8:57)
05 Building Landing Page And Social Media Copy (9:02)
06 Composing A Comprehensive Email Sequence For Your Funnel (4:49)
07 Review Analysis And Optimization Of Products And Services (7:24)
Web Development, Branding and eCommerce with ChatGPT 4
12 01 Project Preview (1:57)
Source Files
12.02 Homepage, About Us, And Contact Us Page Copy (10:14)
12.03 Generate Meta Title And Descriptions (4:58)
12.04 Website Development With Chatgpt Crash Course (25:32)
13 01 Project Preview (1:10)
13.02 Creating Product And Business Names (7:52)
13.03 Developing Professional Taglines And Slogans For Your Brand (7:32)
13.04 Writing Product Descriptions For Your Online Store (4:46)
13.05 Building Faq’S For Services Or Products (4:54)
14 01 Conclusion (2:08)
Bonus - Tips And Tricks (7:43)
ChatGPT for C-Level Communications
01.02 What Is Chatgpt And Its Role With C-Level Management (1:35)
01 01 Course Requirements (1:48)
01.03 Overview Of Limitations And Capabilities (2:30)
02 01 Project Preview (1:43)
02.02 Drafting And Editing Business Content (13:36)
02.03 Branstorming Content Ideas (12:08)
02.04 Text Translation (13:39)
Source files
ChatGPT for Data Analysis and Task Management
03 Source file
03.01 Project Preview (1:20)
03.02 Code Writing And Debugging (14:25)
03.03 Data Analysis And Summarization From Lower-Level Management (12:17)
04.01 Project Preview (1:49)
04.02 Generating Work Schedules (17:13)
04.03 Preparing For Interviews (17:34)
04.04 Task Delegation With Chatgpt (17:13)
ChatGPT Effective Tips and Tricks
05 Source files
05.01 Project Preview (1:14)
05.02 Writing Clear And Specific Prompts (6:47)
05.03A Privacy Considerations (11:25)
05.03B Things To Look At When Working With Chatgpt (9:50)
05.04 How To Provide Feedback For Continuous Learning (8:54)
Conclusion (2:58)
Tips And Tricks (10:11)
Predict stock performance with ChatGPT
01b Source Files
01.01 Course Requirement_1 (3:20)
02 01 Project Preview_1 (2:03)
02 02A Analyze Financial Statements Of Stock (9:00)
02 02B Financial Ratio And Trend Analysis (4:25)
02 03 Balance Sheet, Income Statement And Cash Flow Statement (9:00)
02 04 Loopholes And Weaknesses In Stock Financials (8:39)
02 05 Analyze Historical Stock Performance (11:16)
02 06 Predict Stock Performance (5:08)
Stock Analysis with ChatGPT
02 Source Files
02 07 Market Share_1 (5:31)
02 08 Industry Analysis (7:48)
02 09 Management Team Analysis (8:25)
02 10 Analyze Stock Risks (6:56)
02 11 Valuation (8:11)
02 12 Explain Business Model Of A Company (6:24)
02 13 Perform A Swot Analysis (8:16)
02 14 Summarize A Company’S Earnings Report Calls (6:55)
02 15 Evaluate A Company’S Esg Credentials (4:39)
Build an Investment Plan with ChatGPT
03 Source Files
03 01 Project Preview_1 (0:48)
03 02A Invest Short Term (6:22)
03 02B Implementing Your Short-Term Investment Strategy (8:06)
03 03A Invest Long Term (5:58)
03 03B Analyzing The Results (7:27)
03 04A Using Chatgpt To Assess Your Risk Tolerance (7:32)
03 04B Customized Investment Recommendations Based On Individual Financial Goals And Risk Tolerance (5:26)
03 04C Implementing Your Customized Investment Plan (8:47)
Stock Market Prediction and Risk Analysis with ChatGPT
04 Source Files
04 01 Project Preview_1 (1:25)
04.02A Recent Past Stock Market State (7:44)
04.02B Analyzing Past Trends And Economic Events (9:24)
04.03A Present Stock Market State (6:29)
04.04A Future Stock Market State (8:12)
04.04B Insights On Macroeconomic Factors (7:09)
05 01 Project Preview_1 (2:22)
05.02 Analyze Credit Scores (7:56)
05.03 Assess Loan Applicant Risk (7:35)
Trading Strategies, Sentiment Analysis and Fraud Detection with ChatGPT
06 01 Project Preview_1 (1:12)
05 Source Files
06.02A Pick Stocks With Company Evaluation (6:00)
06.03A Build A Trading Strategy (8:54)
06.03B Test Trading Hypthothesis (8:29)
07 01 Project Preview_1 (1:03)
07.02 Chatgpt And Sentiment Analysis (8:52)
07.03 Analyzing Sentiments On Social Media Posts- (8:45)
08 01 Project Preview_1 (1:03)
08.02A Fraud Detection With Chatgpt (7:37)
08.02B Detecting Exploitation Prone Weaknesses (8:01)
08.03A Red Flags And Anomaly Detection (6:07)
08.03B Anomaly Detection Techniques (8:01)
Conclusion (2:20)
ChatGPT for Sales Best Practices
Source files
01 01 Course Requirements_1 (1:38)
01.02 Understanding Chatgpt (2:34)
01.03 The Role Of Ai In Sales And Lead Generation (1:53)
01.04. Overview Of How Chatgpt Can Improve Outreach Strategy (1:34)
02 01 Project Preview (1:11)
02.02 How To Make Specific Asks (16:07)
02.03 Defining Terms For Chatgpt (3:15)
02.04 Understanding And Setting The Right Tone For Your Messages (13:05)
02.05 The Limitations Of Ai In Sales And Lead Generation (12:45)
02.06 How To Utilize Chatgpt Effectively While Being Aware Of Its Limitations (16:09)
02.07 The Importance Of Checking And Editing Ai Output (6:15)
ChatGPT for Outreach Strategy
Source files
03 01 Project Preview (1:18)
03.02 Defining Your Audience For Effective Outreach (19:40)
03.03 Using Chatgpt To Discover Audience Pain Points And How Your Product Solves Them (11:47)
03.04 Identifying Common Objections And Questions With Chatgpt (18:56)
03.05 Generating Cold Call Scripts, Elevator Pitches, And Battle Cards For Discovery Calls (15:16)
ChatGPT for Lead Generation
Source files
04 01 Project Preview_1 (1:31)
04.02 Using Chatgpt To Generate Content Ideas For Nurturing Leads Through The Sales Funnel (19:10)
04.03 Sales Flow, Linked And Chatgpt (17:26)
Improve LinkedIn Sales with ChatGPT
Source files
05 01 Project Preview (0:59)
05.02 Understanding The Importance Of Linkedin For B2b Sales3 (3:04)
05.03A How To Use Chatgpt To Enhance Your Linkedin Sales Strategy (6:56)
05.03B Chatgpt And Linkedin Usecases (13:17)
05.03C Handling Lead Response With Chatgpt (6:48)
05.04 Best Practices For Using Chatgpt With Linkedin Message Templates For Higher Conversions- (8:36)
ChatGPT for Sales Role Play
Source files
06 01 Project Preview_1 (1:33)
06.02A Using Roleplay To Anticipate Pain Points And Objections (5:13)
06.02B Conversational Role Play (15:14)
06.03A Advance Techniques For Utilizing Chatgpt In Sales (9:55)
06.03B Advance Tips For Brainstorming And Analyzing Pain Points (10:25)
06.03C Secret Prompts For Better Response (18:16)
07 01 Privacy Considerations (19:27)
07.02 Feedbacks For Continuous Learning (5:21)
Measure Sales Performance with KPIs in Excel and ChatGPT
Source files
1 1 Course Requirement_1 (1:34)
02.01.Project Preview (0:57)
02.02. Sales Key Perfomance Indicators (Kpis) (10:16)
02.03.Measuring Salesperson Performance Using Kpis (5:48)
02.04.Marketing And Financial Kpis (6:49)
02.05.Customer-Related Kpis (10:20)
03.01.Project Preview (0:38)
03.02.Case Study Involving Kpis (3:09)
03.03. Joining Data Tables In Excel (7:28)
03.04.Cleaning Data Using Filters In Excel (5:19)
03.05.Determining Lead Conversion Time (7:18)
Sales Data Analysis and Visualization in Excel with ChatGPT
04.01. Project Preview_1 (1:19)
Source files
04.02. Aggregating Data By Regions, Categories, And Time Dimension (6:25)
04.03.Evaluating Salesperson Performance (13:59)
05.01. Project Preview (1:18)
05.02.Creating Charts To Visualize Sales Data (8:08)
05.03.Charting Region-Wise Percentage Contribution (6:22)
05.04.Charting Category-Wise Average Order Value (5:47)
05.05.Analyzing Lead Generation Trends (7:54)
05.06.Analyzing Salesperson Performance (6:26)
05.07.Building A Sales Dashboard (6:22)
05.08. Additional Charts For Sales Modeling (8:33)
Sales Modeling in Excel with ChatGPT
06 01 Project Preview (1:33)
Source file
06.02.Building The Whale Model (6:47)
06.03.Lead Segmentation Using Decision Trees (6:53)
06.04.Excel Preparation For Analysis (6:52)
06.05.Case Study On Lead Segmentation (5:05)
06.06.Building A Model In Excel (9:38)
06.07.Interpreting Results From Tree Nodes (5:25)
06.08.Interpreting Results Based On Classification Criteria (5:23)
06.09.Drawing Inferences From Model Results (5:30)
06.10.Making Predictions Using The Trained Model (3:19)
06.11.Advanced Customization Options For Models (4:37)
07 01 Project Preview (1:05)
07.02.Market Basket Analysis For Cross-Selling Opportunities (11:01)
07.03.Predicting Values Using The Trained Model (6:27)
Sales Forecasting with Machine Learning in Excel with ChatGPT
08 01 Project Preview_1 (3:11)
Source files
08.02.Modeling Trends And Seasonality (10:03)
08.03.Additive And Multiplicative Time Series Models (9:30)
08.04.Linear Regression Model For Sales Forecasting (7:43)
08.05.Preprocessing Data For Regression (12:14)
08.06.Building A Linear Regression Model (8:27)
08.07.Predicting Values Using The Trained Model (8:26)
08.08.Using Xlstat For Forecasting (7:56)
09 01 Project Preview (1:52)
09.03.Predicting Churn Probability Using The Trained Model (11:05)
09.04.Evaluating Model Accuracy Using A Confusion Matrix (12:28)
ChatGPT Prompts and Best Practices for Python Coders
Source Code
1 Introduction & Role Of Prompts In Chatgpt Conversations (8:14)
2. Benefits Of Clear Prompts (4:23)
3. Examples Of Good And Bad Prompts (11:18)
4. The 4-Step Approach To Write The Best Prompts Part 1 (6:57)
5. The 4-Step Approach To Write The Best Prompts Part 2 (5:37)
6. Example Python Prompts Mehdi Ali (14:40)
07. Unit Testing Any Python App (20:28)
Build Python Projects with OpenAI
1 Initial installation and configuration (7:02)
Source Code
2. Making A Simple Chat Bot App (12:36)
3. Image Generation Using Python And Chatgpt (11:35)
4.1. Transcribing Speech To Text (8:46)
4.2. Translating Speech To English (6:42)
Build a ChatGPT Clone with Python Custom UI
1. Introduction And Demo (2:31)
Source files
2. Backend Of The Chat Bot (10:20)
3. Frontend Of The Chat Bot (18:20)
4. Troubleshooting And Testing (9:06)
Build a ChatGPT Chrome Extension with Python
1 Introduction And Project Setup (6:18)
Source Code
2. Setting Up The Configuration Files (9:26)
3. Completing The Front End Of The Extension (11:22)
4. Completing The Backend Of The Extension (20:35)
5. Testing And Troubleshooting (11:13)
Build AI Web Apps with ChatGPT and Python
1 Introduction And Project Setup (5:04)
Source Code
2. Coding The Backend Of The App (18:16)
3. Coding The Frontend Of The App (21:47)
4. Testing And Troubleshooting The App (4:34)
Build Image Generation Web App with OpenAI API
1 Introduction And App Setup (4:18)
Source Code
2. Completing The Backend Of The App (7:21)
3. Completing The Front End Of The App (8:03)
4. Adding Styles To The App (7:17)
5. Testing And Troubleshooting (9:44)
Build coding and data science AI apps with OpenAI Python API
Source files
01 OpenAI API Models To Work With (2:53)
02 How OpenAI API Works (2:09)
03 Adjust OpenAI API Model Parameters (7:58)
04 Use Openai Api To Answer Questions Like Chatgtp (10:19)
05 Correct Grammar With Openai Api (3:30)
06 Summarize And Simplify Text With Openai Api (4:03)
07 Translate Text With Openai Api (3:04)
08 Generate Code With Openai Api (7:11)
09 Explain Code With Openai Api (5:24)
10 Calculate Time Complexity With Openai Api (3:40)
11 Translate Programming Languages With OpenAI API (4:24)
12 Fix Bugs In Code With Openai Api (3:19)
13 Generate Sql Queries With Openai Py (5:15)
14 Build Structured Table Data From Long Form Text (4:29)
15 Classify Items Into Categories With Openai Api (4:50)
16 Generate Spreadsheets And Lists With Chatgpt Openai Api (5:46)
Automate marketing and copywriting with ChatGPT API Python
01 Convert Notes To Summary With Openai Api (5:40)
Source files
02 Add Emotional Sentiment To Text With Openai Models (9:40)
03 Generate Questions On A Topic With Gpt Turbo (9:26)
04 Generate Text Conversation With Chatgpt Api (5:19)
05 Classify Text Emotion Sentiment With Chatgpt Models (5:09)
06 Extract Keywords From Text With Chatgpt Api (4:31)
07 Convert Product Description To Ad With Chatgpt Python (3:57)
08 Generate Product Names With Chatgpt In Python (4:04)
09 Extract Information From Text With Chatgpt Api (2:57)
Customize OpenAI machine learning with Python web scraping data
06-01 Build Html Parser With Python (4:31)
Source files
06-02 Scrape Hyperlinks From Url Webpage With Python (4:09)
06-03 Filter Out Urls Not Part Of Domain (7:03)
06-04 Save Web Content To Files With Python (10:07)
07-01 Convert Text To Csv With Python (6:36)
07-02 Remove Whitespace And Lines From Text With Python (4:58)
07-03 Tokenize Text With Python For Machine Learning Models (2:50)
07-04 Split Long Lines With Python (4:11)
07-05 Split Pandas Dataframe Into Sections With Python (7:19)
07-06 Embed Text For Machine Learning With Openai Api (8:05)
08-01 Embed Question With Python (5:48)
08-02 Answer Questions About Your Data With Customized Openai Model (10:36)
Build custom OpenAI ChatGPT API Python apps with embeddings
Source files
09-01 Load And Read Pdf In Python (3:40)
09-02 Build Vector Index From Pdf Text In Python (4:32)
09-03 Answer Questions About Pdf With Chatgpt Model In Python (5:10)
10-01 Generate Review Data With Chatgpt Api (8:14)
10-02 Format Python Text To Multidimensional Pandas Dataframe (11:50)
10-03 Change Column Data Type In Pandas Dataframe (2:40)
10-04 Embed Text Data With Openai Api (6:25)
Automate Power BI DAX and M with ChatGPT
Source files
01 Generate Employee Dataset With Chatgpt (4:50)
02 Copy Data Into Power Bi And Generate A Query (10:34)
03 Calculate Employee Tenure With Power Query (10:39)
04 Filter Out Terminated Employees With Power Query (11:31)
Generate queries to analyze employee performance
01 Filter By Performance Rating With Power Query_1 (7:12)
Source
02 Categorize Performance With Power Query (5:49)
03 Compare Employee Performance With Location And Education (14:57)
04 Find Top Performing Employees With Power Query (10:26)
05 Calculate Performance For Age Groups (5:35)
Generate DAX queries with ChatGPT for Power BI
Source files
01 Generate Simple Dax Queries With Chatgpt For Power Bi (8:02)
02 Count Rows By Category With Dax (11:27)
Build DAX queries to generate tables with ChatGPT
Source
01 Build Dax Queries To Generate Tables With Chatgpt (4:49)
02 Group Employees With Dax Queries (3:30)
Build visualizations in Power BI with ChatGPT
Source files
01 Build Visualizations In Power Bi With Chatgpt (6:58)
Automate Python Data Visualization in Power BI with ChatGPT
Source
00 Project Preview - Python Data Visualization In Power Bi With Chatgpt (3:54)
01 Generate Credit Card Data With Chatgpt (7:07)
02 Detect Anomalies With Z-Score In Python (18:39)
Visualize data with Python in Power BI
Source
01 Visualize Transaction Amount For Each Merchant (6:55)
02 Visualize Trend Of Transaction Amounts Over Time (18:25)
03 Show Pie Distribution Of Transaction Amounts By Category (8:48)
04 Show Histogram Distribution Of Transaction Amounts (2:11)
Visualize data across categories with ChatGPT
01 Compare Amounts Across Categories With Box Plot (4:23)
Source
02 Show Amount For Each Period By Category (7:14)
03 Visualize Transaction Amounts For Each Merchant (14:00)
04 Build A Word Cloud For Product Names (5:07)
Automate Python Machine Learning with ChatGPT
Source files
00 Project Preview - Python Machine Learning With Chatgpt (2:03)
01 What Kinds Of Machine Learning Can I Do On This Data (2:16)
02 Build A Linear Regression Model For Credit Card Dataset (8:35)
02B Visualize Linear Regression Training With Gif (10:43)
03 Logistic Regression With Confusion Matrix And Scatter Plot (14:26)
Build tree machine learning models with ChatGPT
Source files
01 Build Decision Tree Model For Credit Card Dataset_1 (8:03)
02 Build A Random Forest Model With Bar Plot (4:17)
Build advanced models with ChatGPT and Python
Source files
01 Build Svm Scatter Plot With Chatgpt (21:28)
02 Build Gradient Boosting With A Bar Chart (14:22)
Automate Excel Data Manipulation with Python and ChatGPT
01 Algorithms To Handle Missing Data (5:13)
Source
02 Generate Excel Data With Missing Data In Python And Chatgpt (3:22)
03 Fill In Missing Excel Data With Python Imputation And Chatgpt (3:51)
04 Delete Missing Excel Data With Python And Chatgpt (5:03)
05 Fill In Missing Data With KNN Imputation (5:24)
Categorical data manipulation with Python and ChatGPT
Source
01 What Is Data Encoding (5:36)
02 Perform Excel Data Encoding With Python And Chatgpt (7:18)
03 Choose Data Encoding Technique (3:01)
Statistics for data science with Python and ChatGPT
Source
01 What Is Statistics For Data Science_1 (3:31)
02 Levels Of Data Measurement (3:58)
03 Generate Different Types Of Data With Chatgpt (10:02)
How to measure data
Source
01 Measures Of Central Tendency In Data (5:00)
02 Measures Of Variability In Data (4:09)
03 What Is Skewness In Data Science (3:38)
04 Generate Skewed Datasets With Chatgpt (7:44)
05 What Are Covariance And Correlation Data Measurements (2:37)
06 Measure Covariance And Correlation Of Dataset With Chatgpt (6:50)
Automate Data Distribution Visualization with ChatGPT and Python
Source
01 What Are Probability Distribution Functions In Data Science_ (4:39)
02 Calculate Probability Distribution Functions Of A Dataset With Chatgpt (5:22)
Normal Probability Distribution with Python and ChatGPT
01 What Is Normal Probability Distribution (4:14)
Source
02 Calculate Pdf Of Normal Distribution Dataset (5:35)
03 What Is The Central Limit Theorem (2:45)
Binomial Probability Distribution with Python and ChatGPT
Source
01 What Is Binomial Probability Distribution (2:52)
02 Calculate Pdf Of Binomial Distribution Dataset (10:50)
Poisson Probability Distribution with Python and ChatGPT
Source Files
01 What Is Poisson Probability Distribution (2:42)
02 Visualize Poisson Distribution With Chatgpt And Python (2:31)
Uniform Probability Distribution with Python and ChatGPT
Source Files
01 What Is Uniform Probability Distribution (2:36)
02 Visualize Uniform Distribution With Chatgpt And Python (3:55)
Bernoulli Probability Distribution with Python and ChatGPT
01 What Is Bernoulli Probability Distribution_1 (2:37)
02 Visualize Bernoulli Distribution With Chatgpt And Python (6:43)
Source Files
Build a Machine Learning Chatbot from Scratch
Source Files
01-01 Build Patterns And Responses Training Data (6:34)
01-02 Tokenize Chat Data For Training (4:30)
02-01 Clean Chat Data For Machine Learning (3:04)
02-02 Build Bag Of Words For Ml Model (4:24)
02-03 Split Data For Machine Learning (3:34)
03-01 Build A Tensorflow Machine Learning Model For Chat (4:54)
03-02 Test Chatbot Machine Learning Model (9:09)
03-03 Categorize Chat Question With Ml (7:25)
03-04 Pick A Chatbot Response In Top Category (8:18)
Build Advanced Chatbot with Transformer Neural Network
01 Introduction To Transformer Neural Networks (4:31)
02 Transformer Project Overview (7:59)
00 Source files
01 Preprocess text data for Transformer chatbot ML
01 Connect To Google Drive Dataset In Colab (3:48)
02 Read Text Files In Python (9:17)
03 Read Movie Conversation Text File In Python (10:58)
04 Clean Text Data For Nlp (6:09)
05 Remove Contractions From Text Data With Python (9:35)
06 Preprocess Text Data For Transformer Chatbot Ml (6:16)
01 Source files
02 Tokenize and filter sentences with Python
01 Build Tokenizer With Tfds (7:31)
02 Add Padding To Tokenized Sentences With Python (3:06)
03 Build Tensorflow Dataset For Ml (3:13)
02 Source Files
03 Build multi head attention layer for chatbot ML Python
01 Calculate Scaled Dot Product Attention (4:56)
02 Set Up Multi Head Attention Layer In Python Nn (5:22)
03 Split Attention Layer Into Multiple Heads (4:08)
04 Add Scaled Dot Product Attention And Final Layer (5:22)
03 Source files
04 Build token masks for neural network
01 Mask Padding Tokens With Python (4:38)
02 Build Lookahead Mask For Future Tokens (3:53)
04 Source files
05 Build positional encoding machine learning
02 Combine Input And Positional Encoding (5:36)
01 Build Input Encoder For Neural Network (5:28)
06 Source files
06 Build input encoder for neural network
01 Build Input Encoder For Neural Network (5:28)
02 Combine Input And Positional Encoding (5:36)
06 Source files
07 Build decoder for NLP ML model
02 Combine Output And Positional Encoding For Decoder (5:28)
01 Set Up Decoder Layer With Python (6:31)
07 Source files
08 Combine encoding and decoding in NN
02 Build Custom Ml Model Learning Rate (3:37)
01 Combine Encoding And Decoding In Nn (7:08)
03 Build Custom Model Loss Function (3:17)
04 Compile Neural Network With Python (4:30)
04B Zero Out Padding Tokens In Attention (1:44)
05 Limit And Pad Tokenized Sentences (5:30)
08 Source files
09 Evaluate chatbot neural network
02 Decode Tokens Into Words (2:30)
01 Handle New Chatbot Question Input (5:13)
09 Source files
Image Generation with Open Source Stable Diffusion Machine Learning Python
01 What Are Diffusion Models (2:40)
Source files
02 What Is The Diffusers Library (8:36)
03 What Is Stable Diffusion (3:09)
01 Image generation with Stable Diffusion Python
source files
01 Load Stable Diffusion Model In Colab (7:54)
02 Image to image translation with Stable Diffusion Python
01 Load Pretrained Image Translation Model (3:05)
Source files
02 Preprocess Original Image For Translation With Python (4:31)
03 Generate Image Variant With Prompt (3:50)
03 Inpainting with Stable Diffusion Python
Source files
01 Load Images For Inpainting (2:43)
02 Generate Inpainted Image With Prompt (4:48)
Image Generation with Diffusion Neural Network
01 Load Flower Image Dataset In Colab (4:34)
Source Files
02 Reshape Image Data With Python (4:48)
03 Preprocess Image Data With Python (3:08)
02 Calculate Kernel Inception Distance
Source Files
01 Calculate Kernel Inception Distance In Python (6:34)
02 Update Kernel State With Keras (8:49)
03 Build downsampling and upsampling with Keras
Source files
01 Build Residual Block With Python (3:24)
02 Build Down And Up Blocks With Keras (3:29)
04 Build a CNN with Keras
Source Files
01 Build Sinusoidal Embedding With Tensorflow (3:35)
02 Build A Cnn For Image Generation (5:30)
05 Build a diffusion model for image generation
Source Files
01 Build A Diffusion Model For Image Generation (4:02)
02 Denoise Images In Python (2:09)
03 Build A Diffusion Schedule With Tensorflow (3:00)
04 Build Reverse Diffusion Algorithm (4:45)
06 Generate images with diffusion
Source Files
01 Generate Images With Diffusion (3:07)
02 Build Training Step For Model (7:49)
03 Build Keras Model Test Step (3:58)
07 Train and visualize image generation model
Source files
01 Run Model Training For Diffusion Image Generation_1 (5:51)
02 Visualize Image Generation Results (4:59)
▶️ Level 5: Tech Career Interview Prep 🚀🔥
Source Code
01 Introduction Python (6:17)
02 Fizzbuzz Python (5:57)
Python interviews - Time complexity
Source Code
00 Types Of Time Complexity Python (21:51)
01 Types Of Better Time Complexity Python (14:51)
Python interviews - String and Array Interview Questions
Source Code
01 Reverse Words In A String Python (2:44)
02 Rotate Array Python (8:56)
03 Kth Smallest Element In An Array Python (11:53)
Python interviews - Matrix Interview Questions
Source Code
01 Spiral Matrix Python (13:26)
02 Number Of Islands Python (18:54)
Python interviews - Linked List Interview Questions
01 Implement A Stack Using An Array Python (9:45)
Source Code
02 Add Two Numbers As Reversed Linked Lists Python (16:10)
03 Reverse A Linked List Python (16:10)
Python interviews - Binary Tree Interview Questions
01 Inorder Traversal Python (11:08)
Source Code
02 Preorder Traversal Python (8:48)
03 Postorder Traversal Python (7:05)
04 Binary Tree Maximum Path Sum Python (8:43)
Python interviews - Graph Interview Questions
Source Code
01 Find Strongly Connected Components Python (10:29)
Python interviews - Sorting Interview Questions
01 Bubble Sort Algorithm Python (9:11)
Source Code
02 Selection Sort Algorithm Python (5:56)
03 Insertion Sort Algorithm Python (4:29)
04 Quicksort Algorithm Python (4:29)
05 Merge Sort Algorithm Python (7:25)
06 Time Complexity Of Different Sorting Algorithms (2:55)
Python interviews - Dynamic Programming Interview Questions
01 Coin Change Python (7:21)
Source Code
02 Edit Distance Python (11:33)
03 Distinct Subsequences Python (6:59)
04 Maximum Sum Subarray Python (4:56)
Python interviews - Bit Manipulation Interview Questions
01 Bitwise And Shift Operators (7:02)
Source Code
02 Single Number Python (4:32)
03 Number Of 1 Bits Python (4:31)
04 Sum Of Two Integers Python (5:14)
05 Bitwise And Of A Range Python (5:36)
Python interviews - Permutations and Combinations
Source Code
01 Permutations Python (10:08)
02 Distinct Permutations Of A String Python (7:49)
03 Letter Combinations Of A Phone Number Python (11:54)
Python interviews - Math Interview Questions
01 Reverse Integer Python (9:53)
Source Code
02 Palindrome Number Python (9:49)
03 Excel Sheet Column Number Python (6:04)
Machine Learning Interview Challenges
01-00. Intro (1:54)
00. Course Intro (5:09)
01-01. What Is Machine Learning (17:47)
01-02. Types Of Machine Learning(1) (10:48)
01-03. Building A Machine Learning Model(1) (17:02)
02-00. Intro (2:44)
02-01. How To Choose An Algorithm(1) (16:42)
02-02. Common Machine Learning Algorithms Part 1 (15:58)
02-03. Common Machine Learning Algorithms Part 2 (22:52)
02-04. Common Machine Learning Algorithms Part 3 (13:03)
02-05. Comparison Interview Questions (16:20)
03-00. Intro (2:08)
03-01. Data Related Errors (16:55)
03-02. Model Related Errors (11:34)
03-03. Results Testing Techniques (11:18)
04-00. Intro (2:14)
04-01. Missing_Corrupted Data (5:08)
04-02. Selecting Important Variables (3:18)
04-03. Fixing Multicollinearity- (3:56)
04-04. Kernel Tick (3:21)
04-05. Slow Machine_Limited Memory (4:59)
04-06. Classification And Random Sampling (3:38)
04-07. Low Training Error With High Validation Error (4:40)
04-08. Cross Validation On Time Series Data (3:39)
04-09. Amazon Recommendation System (5:26)
05. Course Summary And Outro (3:12)
Source Files
Crack the Data Science Interview with Python - Generate property data with Pandas
00 Data Generation And Manipulation Question Overview (8:14)
Source files
01 Generate Property Data With Pandas (9:20)
02 Generate Data Within Range (6:43)
03 Generate Property Type With Probabilities (2:24)
04 Generate Number Of Rooms Based On Property Type (7:20)
Generate and clean missing data
Source Files
01 Simulate Missing Data With Python (3:59)
02 Clean Dataset With Python (6:46)
03 Find Incorrect Data Type Values (6:07)
04 Change Data Type Of Column (3:50)
Manipulate data with Pandas
Source files
01 Optimize Column Names In Pandas (5:05)
02 Convert Int Column To Bool (3:41)
03 Perform One Hot Encoding (3:17)
Fix Corrupted Image Dataset Interview Question
source files
01 Fix Corrupted Dataset (6:58)
02 Count Number Of Values In Array Column (4:14)
Image Generation Machine Learning Interview Questions
Source Files
01 What Is Discriminative Modeling (1:00)
02 What Is Generative Modeling (1:10)
Diffusion Deep Learning Interview Questions
02 How Diffusion Works In Deep Learning (2:17)
01 What Are Diffusion Models (1:08)
03 Forward And Backward Diffusion In Ml (1:52)
04 What Is A U-Net Ml Model (1:30)
Stable Diffusion Interview Questions
01 Steps Of Latent Reverse Diffusion In Stable Diffusion_1 (1:44)
02 What Is Latent Space (3:14)
03 What Is The Manifold Hypothesis In Ml (1:39)
Dimensionality Reduction Data Science Interview Questions
02 What Is Principal Component Analysis (1:16)
01 What Is Dimensionality Reduction_1 (1:48)
Autoencoder Machine Learning Interview Questions
02 What Are Encoders And Decoders In Ml (2:13)
01 What Are Autoencoders (1:38)
03 How Do Autoencoders Work (2:30)
04 What Are Variational Autoencoders (2:59)
05 What Is A Vector Quantized Variational Autoencoder (1:45)
GAN Neural Network Interview Questions
02 What Are Discriminators And Generators (3:58)
01 What Is The Structure Of A Generative Adversarial Network_1 (4:17)
03 What Is Zero-Shot Learning (2:55)
Scoring Interview Questions
01 What Is Inception Score_1 (3:32)
02 What Is Frechet Inception Distance (3:58)
03 How Fid Works In Ml (1:48)
04 What Is Kernel Inception Distance (1:02)
Signal Processing Interview Questions
02 What Is Signal Data (3:40)
01 What Is Time-Series Data (1:39)
03 Continuous Signals Vs Discrete Signals (3:12)
04 What Is Nyquist Rate (1:42)
Fourier Analysis Interview Questions
01 What Are Periodic Signals (1:51)
02 What Is Fourier Transform (6:58)
Beginner Python Array Interview Questions with Time and Space Complexity
00A Course Overview (1:18)
Source Files
01A Question - Find Maximum Sum Subarray Of Size K (2:00)
01B Find Maximum Sum Subarray Of Size K (5:18)
01C Explanation - Find Maximum Sum Subarray Of Size K (4:00)
02A Question - Find Smallest Subarray With Given Sum (2:06)
02B Find Smallest Subarray With Given Sum (5:50)
02C Explanation - Find Smallest Subarray With Given Sum (3:41)
03A Question - Find Pair With Target Sum (1:17)
03B Find Pair With Target Sum (5:29)
03C Explanation - Find Pair With Target Sum (2:39)
04A Question - Remove Duplicates From List (1:26)
04B Remove Duplicates From List (3:30)
04C Explanation - Remove Duplicates From List (3:37)
05A Question - Remove Targets From Array (1:17)
05B Remove Targets From Array (3:50)
05C Explanation - Remove Targets From Array (2:53)
06A Question - Square A Sorted Array (1:40)
06B Square A Sorted Array (4:55)
06C Explanation - Square A Sorted Array (5:11)
Beginner Python Sort Interview Questions with Time and Space Complexity
03C-01A Question - Cyclic Sort (1:36)
03A Course Overview (1:24)
03C-01B Cyclic Sort (4:19)
03C-01C Explanation - Cyclic Sort (5:00)
03C-02A Question - Find Duplicate Number (1:06)
03C-02B Find Duplicate Number (3:32)
03C-02C Explanation - Find Duplicate Number (2:49)
03C-03A Question - Find Duplicate Without Modifying Array (1:45)
03C-03B Find Duplicate Without Modifying Array (4:43)
03C-03C Explanation - Find Duplicate Without Modifying Array (4:50)
03C-04A Question - Find All Duplicate Numbers (0:59)
03C-04B Find All Duplicate Numbers (3:47)
03C-04C Explanation - Find All Duplicate Numbers (6:51)
03C-05A Question - Find Missing Number (1:07)
03C-05B Find Missing Number (4:23)
03C-05C Explanation - Find Missing Number (9:18)
03C-06A Question - Find All Missing Numbers (1:12)
03C-06B Find All Missing Numbers (3:32)
03C-06C Explanation - Find All Missing Numbers (7:46)
03C-07A Question - Find Corrupt Pair (1:14)
03C-07B Find Corrupt Pair (4:00)
03C-07C Explanation - Find Corrupt Pair (4:52)
Source Files
Beginner Python Tree Interview Questions with Time and Space Complexity
06C-01A Question - Traverse Binary Tree Level Order (2:34)
06A Course Overview (1:24)
06C-01B Traverse Binary Tree Level Order (6:49)
06C-01C Explanation - Traverse Binary Tree Level Order (4:54)
06C-02A Question - Traverse Binary Tree Reverse Level Order (1:58)
06C-02B Traverse Binary Tree Reverse Level Order (7:01)
06C-02C Explanation - Traverse Binary Tree Reverse Level Order (4:20)
06C-03A Question - Find Level Averages In Binary Tree (1:16)
06C-03B Find Level Averages In Binary Tree (7:30)
06C-04A Question - Find Level Order Successor (1:53)
06C-04B Find Level Order Successor (8:11)
06C-05A Question - Find Minimum Depth Of Binary Tree (1:33)
06C-05B Find Minimum Depth Of Binary Tree (5:29)
06C-06A Question - Find Maximum Depth Of Binary Tree Traversing All Levels (0:59)
06C-06B Find Maximum Depth Of Binary Tree Traversing All Levels (5:33)
06C-07A Question - Find Right View Of Binary Tree (1:15)
06C-07B Find Right View Of Binary Tree (6:27)
Beginner Python Heap Interview Questions with Time and Space Complexity
04A Course Overview (1:14)
Source Files
04C-01A Question - Find Top K Numbers (0:47)
04C-01B Find Top K Numbers (4:03)
04C-01C Explanation - Find Top K Numbers (2:44)
04C-02A Question - Find Kth Smallest Number (1:03)
04C-02B Find Kth Smallest Number (4:32)
04C-02C Explanation - Find Kth Smallest Number (2:16)
04C-02C Explanation - Find Kth Smallest Number_1 (2:16)
04C-03A Question - K Closest Points To Origin (1:03)
04C-03B K Closest Points To Origin (7:59)
04C-03C Explanation - K Closest Points To Origin (2:01)
04C-04A Question - Find Minimum Cost To Connect Ropes (2:00)
04C-04B Find Minimum Cost To Connect Ropes (4:42)
04C-04C Explanation - Find Minimum Cost To Connect Ropes (2:11)
Modified Binary Search Python Questions
08-01A Question - Find Bitonic Array Maximum (1:50)
08-01B Find Bitonic Array Maximum (4:34)
08-02A Question - Order Agnostic Binary Search (1:27)
08-02B Order Agnostic Binary Search (5:47)
Beginner Python Linked List Interview Questions with Time and Space Complexity
05A Course Overview (1:14)
Source Files
06-01A Question - Is Linked List Cycle (1:15)
06-01B Is Linked List Cycle (5:01)
06-01C Explanation - Is Linked List Cycle (2:41)
06-02A Question - Find Length Of Linked List Cycle (1:17)
06-02B Find Length Of Linked List Cycle (6:25)
06-02C Explanation - Find Length Of Linked List Cycle (3:43)
06-03A Question - Find Middle Node Of Linked List (1:08)
06-03B Find Middle Node Of Linked List (4:25)
06-03C Explanation - Find Middle Node Of Linked List (1:36)
Subsets Beginner Python Questions
07-01A Question - Find Distinct Subsets (1:19)
07-01B Find Distinct Subsets (5:48)
07-02A Question - Find Subsets With Duplicates (2:02)
07-02B Find Subsets With Duplicates (4:06)
03. Building The Model Part 2 - Formatting Dataset
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