Autoplay
Autocomplete
Previous Lesson
Complete and Continue
The Complete Python for Finance Masterclass
SECTION 0 - Introduction
00 About Mammoth Interactive (1:12)
01 How To Learn Online Effectively (13:46)
Source Files
(Prerequisite) Introduction to Python
00. Introduction (4:42)
Code Python on the Web
02.02 What If I Get Errors (2:40)
02.01 What is Google Colab (4:24)
02.03 How Do I Terminate a Session (2:40)
Python Language Fundamentals
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)
01 Build stock buy and hold strategy in Python
02 Load Msft Data From Csv File In Python (4:46)
01 Set Python Version In Colab (1:41)
03 Calculate Monthly Returns With Buy And Hold Strategy (3:37)
04 Calculate Stock Portfolio Returns With Python (4:52)
Source files
03 Compare trading volume of stocks with Python
02 Compare Trading Volume Of Stocks With Numpy (7:36)
01 Load Multi Stock Data Into Colab (5:32)
Source files
04 Compare stocks with technical analysis
01 Find Lowest Risk Stocks With Python (3:47)
02 Find Most Traded Stock With Pyplot (2:37)
Source files
05 Find stock trends with moving averages
02 Visualize Stock Moving Average With Pyplot (5:00)
01 Find Stock Trends With Moving Averages (3:09)
Source files
06 Compare stock volatility with Python
01 Visualize Highest And Lowest Prices Reached By Stocks (2:25)
02 Calculate Stock Volatility With Python (8:08)
Source files
07 Calculate correlations between stock features
01 Calculate Correlations Between Stock Features (5:11)
02 Visualize Stock Correlations With Heatmaps (5:07)
Source files
Machine Learning Introduction
00A What Is Machine Learning (5:26)
00B Types Of Machine Learning Models (12:17)
00C What Is Supervised Learning (11:04)
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)
Source Files
02 Build linear regression ML model with stocks
01 Load And Visualize Google Drive Data In Python (6:54)
02 Process Amazon Stock Data For Machine Learning (6:19)
03 Build Linear Regression Ml Model With Stocks (5:02)
Source files
07 Intro to KMeans ML
05B What Is K Means Clustering (11:58)
05A What Is Unsupervised Learning (8:17)
08 KMeans clustering machine learning on S&P stocks
02 S&P Data Processing And Cleaning For Machine Learning (4:51)
01 Import S&P Stock Data Into Colab (6:09)
03 Calculate Average S&P Returns With Python (2:48)
04 Calculate Average S&P Variances With Pandas (3:19)
05 Determine Optimal Number Of Clusters For Kmeans (8:38)
06 Build A Kmeans Unsupervised Model For S&P (5:47)
Source files
SQL Introduction (Prerequisite)
02 How To Read An ER Model (5:32)
01 Why You Must Know How To Work With Data (5:22)
03-01 What Is A Database (8:26)
03-02 What Is A Relational Database (4:33)
04-01 How To Design Columns And Data Types (3:13)
04-02 Use Normal Forms To Check Your Design (7:16)
05-01 Build A Sqlite Database With Python (8:02)
05-02 Add An Entry To The Table With SQL (6:44)
05-03 Add More Records To The Table (6:30)
05-04 Build A Second Table For Cross-Referencing (10:57)
05-05 Select Rows That Meet Conditions (7:15)
Source Files
09 Load cryptocurrency data into Python SQLite database
01 Load Cryptocurrency Data Into Python Sqlite Database (5:47)
02 View Sqlite Crypto Database With Python (3:07)
Source files
10 Build SQL queries on crypto stock data with Python
02 Calculate Stock Market Cap With Sqlite In Python (3:58)
01 Calculate Total Shares With Sql Query In Python (2:52)
Source files
11 Analyze Ethereum crypto stock data with Python SQLite
02 Query Price Drops With Sqlite Python (7:42)
01 Compare Price And Adjust Price With Sqlite Python (7:50)
03 Query Highest And Lowest Stock Price Per Year (7:05)
04 Query Highest Market Cap With Sql (7:04)
Source files
What is a Neural Network
00B What Is A Neural Network (8:08)
00A What Is Deep Learning (6:10)
Source Files
12 Prepare crypto stock data for RNN model
02 Build Training And Validation Data For Ml (2:51)
01 Load Ada Token Data Into Colab (4:01)
03 Scale Data With Normalization In Python (4:16)
04 Build X And Y Data For Neural Network (7:47)
Source files
13 Build recurrent neural network to predict crypto stock price
01 Build Recurrent Neural Network To Predict Crypto Stock Price (10:43)
02 Evaluate Rnn Results On Stock Data (2:35)
03 Visualize Rnn Stock Prediction Results (3:45)
04 Test Neural Network On New Data (10:00)
05 Save Nn Ml Model For Future Use (3:18)
Source files
14 Build and analyze stock portfolio with Python
01 Generate Data For Data Science (4:14)
02 Analyze Data With Python (3:35)
Source files
15 Perform calculations on mock stock data
02 Calculate Volatility And Risk With Python (4:01)
01 Calculate Compounding Returns With Python (7:30)
Source files
16 Analyze and compare stock portfolios with Python
01 Build Stock Portfolios With Numpy (6:06)
02 Calculate Portfolio Returns With Python (3:48)
Source files
17 Build drawdowns with Python
02 Calculate Stock Wealth Index With Python (4:24)
01 Calculate Maximum Drawdown Of Returns (3:51)
Source files
18 Analyze hedge fund data in Python
02 Calculate Data Skewness With Python (4:17)
01 Load Hedge Fund Data In Colab (4:43)
03 Calculate Data Kurtosis In Python (4:36)
04 Find Data Semideviation With Python (4:36)
Source files
19 Calculate Value At Risk with Python
Source files
01 Calculate Data Value At Risk (4:11)
SECTION 1 - Learn Finance - Trade on the stock market
01.02 Introduction Of The Instructor (1:24)
01.01 Introduction To The Course (2:35)
01.03 Course Requirements (1:11)
02.01 Why You Should Trade (7:28)
02.02 What Is A Stock (4:45)
02.03 What Is A Market (2:27)
02.04 What Is A Stock Exchange (3:03)
02.05 What Is A Broker (5:10)
02.06 Where To Trade (4:36)
03.01 Orders And Order Types-1 (17:15)
03.02 Orders Driving Prices-2 (2:30)
03.03 Different Players-3 (4:06)
03.04 Ways To Make Money-4 (3:45)
04.01 What Is Technical Analysis-1 (10:37)
04.02 Charts And Candlesticks-2 (20:59)
04.03 Trends, Support And Resistance-3 (7:41)
04.04 Chart Patterns-4 (7:10)
04.05 Volume-5 (9:57)
04.06 Bollinger Bands-6 (7:25)
04.07 Relative Strength Index-7 (10:21)
04.08 Average True Range-8 (5:01)
05.01 What Is Fundamental Analysis-1 (15:43)
05.02 Financial Statements-2 (13:58)
05.03 Fundamental Ratios-3 (4:39)
05.04 Current Vs Expected-4 (2:46)
05.05 Growth Vs Value Companies-5 (4:59)
05.06 Trend Analysis-6 (8:18)
05.07 Benchmarking-7 (7:30)
05.08 Dividend Discount Model-8 (13:19)
05.09 Stock Splits-9 (5:45)
05.10 Other Metrics-10 (4:22)
06.01 What To Expect-1 (15:22)
06.02 Gambling Vs Educated Betting-2 (3:19)
06.03 Batting Average-3 (3:56)
06.04 Win-Loss Ratio-4 (5:15)
06.05 Risk Management-5 (7:24)
06.06 Money Management-6 (10:35)
06.07 Position Sizing-7 (10:03)
Script Files
Day Trading
Section 1.1 - Introduction-1 (1:35)
Section 2.1 - What Is Day Trading-1 (1:51)
Section 2.2 - Why Most People Fail At Day Trading-2 (5:02)
Section 2.3 - Pros And Cons Of Day Trading-3 (13:46)
Section 2.4 - Types Of Day Trading-4 (1:18)
Section 3.1 - Risk And Account Management-1 (4:11)
Section 3.2 - How To Choose The Right Stock-2 (13:46)
Section 3.3 - Scale Out Your Trade-3 (2:38)
Section 3.4 - How To Use Stock Screeners-4 (3:33)
Section 3.5 - Important Indicators To Use-5 (5:43)
Section 3.6 - Get Trading Signals From Indicators-6 (5:56)
Section 3.7 - Use A Trading View Platform-7 (3:53)
4.1 - Overview Of Day Trading-1 (8:27)
4.2 - Trading Plans Overview-2 (5:40)
4.3 - Deployment Process-3 (5:10)
4.4 - Analyze Historical Performance-4 (9:55)
4.5 - Which Broker To Use-5 (6:46)
Section 5.1 - What Is The Open Price Gaps Strategy-1 (3:09)
Section 5.2 - Warning About Scammers-2 (3:30)
Section 5.3 - Opening And Closing Auctions-3 (4:26)
Section 5.4 - Build A Trading Plan And Stock Screening-4 (2:17)
Section 6.1 - What Is The Equity Dilution Strategy-1 (4:39)
Section 6.2 - Why The Strategy Works-2 (2:49)
Section 6.3 - How To Research-3 (3:02)
Section 6.4 - How To Backtest-4 (5:52)
Section 6.5 - Build A Trading Plan And Stock Screening-5 (1:44)
Section 7.1 - What Is The Dividend Cuts-1 (5:10)
Section 7.2 - Present Value Of Money-2 (13:46)
Section 7.3 - When A Company Cuts Dividends-3 (3:02)
Section 7.4 - Build A Trading Plan And Stock Screening-4 (1:37)
Script PDF Files
Decentralized finance
01.02 Introduction Of The Instructor (2:05)
01.01. Introduction To The Course (4:02)
01.03 Course Requirements (0:22)
02.01 Introduction Of Crypto Currencies (4:32)
02.02 Introduction Of Bitcoin (7:06)
02.03 Introduction Of Ethereum (2:25)
02.04 Inroduction Of Altcoins (1:30)
02.05 Introduction Of Multiplier (2:25)
02.06 Difference Of Fiat And Satoshi (7:21)
02.07 Difference Of Coin And Token (6:31)
3.1 Most Profitable Cryptocurrencies (8:48)
3.2 Where To Find Cryptocurrency Data (0:35)
3.3 Tips For Investing (10:17)
3.4 Warnings About Investing (3:33)
3.5 Invest In A Coin Long-Term (2:43)
3.6 Invest In A Coin Short-Term (3:44)
3.7 When To Buy And Exit (1:46)
3.8 Maximize Gains (2:00)
3.9 Spot Hidden Coins (3:33)
4.1 Need To Buy Crypto (9:21)
4.2 Buy Bitcoin With Your Normal Currency (1:16)
4.3 Send Money To An Exchange (5:21)
4.4 Sell Your First Cryptocurrency (13:46)
4.5 Decentralised Exchanges & Uniswap (21:10)
4.6 Pancakeswap (7:36)
5.1 Large, Mid And Micro Cap Coins (9:37)
5.2 How To Get Regular Profits (10:52)
5.3 Calculate Your Potential For Gains (2:39)
5.4 Additional Bonuses (2:52)
5.5 Investment’S Long Term Capability (1:28)
6.1 Short Term Strategy (4:31)
6.2 Long Term Strategy (7:04)
6.3 Playing The Market (2:05)
6.4 React When Your Investment Loses Money (3:13)
7.1 Bear Vs Bull Market (7:00)
7.2 Predict If A Crypto Will Soar Or Crash (12:27)
7.3 Find Optimal Price Of A Coin (9:58)
7.4 Stay Or Exit A Trade (8:15)
7.5 How To Use Candlesticks (4:27)
7.6 Spot Trends And Predict Future Prices (6:31)
8.1 Why Blockchain Infrastructure Coins Are Valuable (35:50)
8.2 Why Privacy Coins Are Valuable (12:51)
8.3 Why Iot Coins Are Valuable (4:38)
8.4 Why Currencies Are Valuable (10:28)
8.5 Dapputility Coins Are Valuable (2:37)
9.1 Profits Back To Fiat (8:09)
9.2 Avoid High Fees When Selling (7:24)
10.1 Defi And Yield Farming (20:02)
10.2 Why You Should Be A Yield Farmer (2:05)
10.3 Warnings About Yield Farmers (2:23)
10.4 How Buy New Defi Coins (2:14)
10.5 How To Reduce Gas Prices (8:35)
11.1 What Are NFTs (4:33)
11.2 NFTs Are A High Profit Investment (4:36)
11.3 Different NFT Platforms (2:17)
11.4 Yield Farming & NFT Platforms (3:07)
12.1 What Are ICO (11:55)
12.2 Why Invest In ICOs (2:46)
12.3 Optimum Price During Pre-Sales (2:48)
12.4 Partake In Private Sales (4:07)
Script Files
Trade options
01.01. Introduction To The Course-1 (3:26)
02.01. What Are Options-1 (6:30)
02.02. Practical Example With A Stock-2 (4:42)
02.03. Introduction To Call Options-3 (1:40)
02.04. Practical Example Of A Call Option-4 (4:28)
02.05. What Are In-The-Money (Itm), At-The-Money (Atm) And Out-Of-The-Money (Otm) Options-5 (4:24)
02.06. Buyer And Seller Risk Profiles-6 (4:21)
02.07. Risk Graphs-7 (5:57)
02.08. Option Chain And Quote Screen-8 (3:04)
02.09. Practical Stock Example - Choice Of Expiry Series And Itm, Atm And Otm Options-9 (8:04)
02.10. Call Option Performance In Real-Time And On The Day Of Expiry-10 (4:58)
02.11. Risk Graphs Of Itm, Atm And Otm Options-11 (1:35)
02.12. Option Sellers Risk Profile-12 (5:10)
02.13. Real-World Example Of Put Options.Mp4-13 (3:08)
03.01. What Is Time Decay-1 (3:31)
03.02. Practical Examples Of Time Decay-2 (5:59)
04.01. What Is Implied Volatility-1 (2:47)
04.02. Practical Examples Of Implied Volatility-2 (3:02)
05.01. What Are Option Greeks-1 (3:36)
05.02. Option Delta-2 (7:27)
5.03. Option Gamma-5 (7:49)
05.04. Option Vega-3 (4:52)
05.05. Option Theta-4 (8:34)
06.01. Long Call Strategy-1 (7:47)
06.02. Long Put Strategy-2 (7:28)
06.03. Trade Set Up For Monthly Options (Indicators Settings)-3 (13:39)
06.04. Covered Call Strategy-4 (5:49)
06.05. Protective Put Strategy-5 (6:54)
06.06. Writing Put Strategy (Selling Put Options)-6 (7:28)
07.01. Bull Call Spread Strategy-1 (13:28)
07.02. Bull Put Spread Strategy-2 (8:42)
07.03 Bear Call Spread Strategy-3 (8:03)
07.04. Bear Put Spread Strategy-4 (6:48)
07.05. Call Back Spread Strategy-5 (4:56)
07.06. Profitable Condition For Call Back Spread-6 (10:04)
07.07. Put Back Spread Strategy-7 (3:48)
07.08. Profitable Condition For Put Back Spread Strategy-8 (7:37)
08.01. Short Strangle Strategy-1 (6:39)
08.02. Collar Strategy-2 (6:30)
08.03. Long Butterfly Spread Strategy-3 (7:14)
09.01. Long Straddle Strategy-1 (5:22)
Script Text Files
SECTION 2 - Learn to Code with 10 Python Projects - Data Mining with Python and NumPy - Build a Video Recommender System
00 Project Preview (2:48)
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)
Source Files
Python Chatbot Bootcamp with Pandas, NumPy and SciKit (Natural Language Processing - Build 2 Chatbots)
01 What Is Natural Language Processing (5:39)
01 Projects Preview (4:49)
02 What Is Text Vectorization (7:34)
03-01 Train A Vectorizer (8:50)
03-02 Chat With The User (11:04)
04-01 Define A Basic Intent Classifier (7:42)
04-02 Define A Basic Generative Model (4:05)
04-03 Test The Chatbot (9:33)
Source Files
Exploratory Data Analysis Bootcamp with Python, Seaborn and Pandas
01 01 Load A Dataset (9:43)
00 Project Preview (4:04)
01 02 Analyze The Main Feature (2:46)
01 03 Analyze Numerical Features (7:26)
01 04 Analyze Categorical Features (9:32)
02 01 Find Relationships Between Numerical Features (11:26)
02 02 Find Relationships Between Categorical Features (7:51)
02 03 Build Conditional Plots (7:03)
Source Files
Python Data Analysis Bootcamp with Pandas and NLTK - Natural Language Processing
00 Project Preview (3:38)
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)
Source Files
Python and Flask Web Development Bootcamp
00B What Is Flask (3:45)
00A Project Preview (4:13)
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)
Source Files
Python and SQLite Bootcamp - Learn to Build Databases
00B What Is Sqlite (4:01)
00A Project And Database Preview (2:37)
01 02 Create A Database (4:00)
01 03 Build Database Tables (5:25)
01 04 Insert Records (9:18)
01 05 Select Records (5:48)
01 06 Connect To A Database (3:19)
01 07 Build A Row From User Input (10:27)
01 08 Check If Entry Already Exists (5:39)
01 09A Introduction To SQL Joins (3:53)
01 09B Build SQL Joins (11:32)
01 What You-ll Need (1:54)
Source Files
PySpark - Build DataFrames with Python, Apache Spark and SQL
01 What Is Apache Spark (2:37)
00 Project Preview (2:33)
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)
Source Files
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
00 02 What Is Plotly And Dash (3:59)
00 01 Project Preview (1:39)
00 03 What You-ll Need (2:09)
3-01 Build A Dash App (11:44)
3-02 Build A Graph In The Dash App (12:05)
4-01 Load Data From Vega Datasets (5:33)
4-02 Build The Layout (10:27)
4-03 Build A Chart With Altair (11:56)
Source Files
SECTION 3 - Stock Market Data Science and Machine Learning - Compare stock performance with Python
00 Course Overview (8:36)
00 Project Overview (2:58)
01 Define Stocks To Compare From Yahoo Finance (4:17)
02 Scrape Stock Data From Yfinance Api (13:49)
03 Visualize Stock Performance (11:29)
Source Files
Become a data scientist
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
Analyze crypto stocks with Python
00 Course Overview - Python Crypto Stock Analysis (4:32)
01 01 Visualize Stock Prices With Pyplot (4:21)
01 02 Calculate Yearly Returns On Crypto Stocks (4:06)
02 00 Project Overview - Stock Portfolio Analysis With Python (2:35)
02 01 Build A Stock Portfolio (3:03)
02 02 Calculate Stock Portfolio Performance With Python (6:36)
02 03 Visualize Crypto Portfolio Returns With Pyplot (3:41)
02 04 Analyze Stock Portfolio Returns With Data Science (6:32)
02 05 Calculate Expected Cryptocurrency Returns With Pandas (3:04)
02 06 Visualize Stock Drawdowns With Python (4:13)
03 01 Build Sma And Ema With Ta-Lib (4:46)
03 02 Calculate Bollinger Bands For Crypto Stock (5:00)
03 03 Calculate Rsi For Stocks With Python (4:25)
03 04 Calculate Obv For Crypto Price Prediction With Python (5:02)
03 05 Calculate Moving Average Convergence Divergence (3:21)
04 00 Project Overview - Time Series Stock Forecasting On Crypto Stock With Python (2:25)
04 01 Fit A Prophet Model For Stock Forecasting (10:08)
04 02 Visualize Stock Forecast With Python (2:47)
05 01 Calculate Risk Vs Return Of Crypto Stock (5:55)
05 02 Visualize Risk Vs Return In Python (8:38)
Source files
Build machine learning models
01 Build A Dataset (23:44)
00 Project Preview (2:48)
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)
Source Files
Python Crypto Machine Learning
02-00 Regression Introduction (8:58)
00 Course Overview - Python Crypto Machine Learning (6:11)
02-01 What Is Regression (19:55)
02-02 What Is Linear Regression (5:03)
03-03A Why Do We Need Svm (7:15)
03-03B How Does Svm Work (6:28)
03-03C Svm On Non-Linear Data (4:48)
03-03D What Are Svm Kernels (4:44)
03-03E What Is The Precision-Recall Score (4:42)
04-00 Project Overview (3:00)
04-01 Load Eth Data From Yahoo Finance With Python (3:45)
04-02 Build Regression Models To Predict Eth Price (7:14)
05-03 Make Decisions With Decision Trees (10:51)
05-04 What Is The Random Forest Classifier Model (5:42)
06-03 Build Tree Regression Models To Predict Crypto Price (2:55)
06-04 Compare Regression Model Results For Asset Prediction (3:18)
07-01 Project Overview - Adaboost Stock Prediction (7:28)
07-02 Build Stock Dataset For Machine Learning (5:33)
07-03 Build An Adaboost Regression Machine Learning Model For Stock Prediction (6:47)
07-04 Find Best Ml Model With Optimal Number Of Estimators (15:18)
08-00 What Is Naive Bayes Machine Learning (1:34)
08-01 What Is Gaussian Probability Distribution- (2:31)
09-00 Project Overview (7:05)
09-01 Load And Prepare Crypto Data In Colab (8:32)
09-02 Build Classification Models To Predict Stock (7:59)
09-03 Build Tree Classification Models To Predict Crypto Price (3:25)
09-04 Compare Classification Model Results With Numpy And Pandas (3:51)
10-01 Load Yfinance Data Into Colab (4:10)
10-02 Build Trading Signals With Sma Windows (3:50)
10-03 Calculate And Visualize Strategy Returns (2:48)
10-04 Prepare Data For Machine Learning (6:40)
10-05 Build A Support Vector Classifier With Sklearn (3:01)
10-06 Calculate And Visualize Returns From Model (4:08)
Source Files
Predict stocks from Twitter trends with machine learning
02-01 Get Twitter Developer API (6:49)
00 Course Overview (8:08)
02-02 Get Latest Tweet Via API (12:53)
02-03 Check If Tweeted About Cryptocurrency (5:59)
03-01 What Is Sentiment Analysis (10:28)
03-02 Analyze Tweet Sentiment (11:02)
04-01 Get Coinbase Pro Sandbox API (6:40)
04-02 Open Coinbase Pro Sandbox Account Via API (17:45)
04-03 Test Buy From Coinbase Sandbox Via API (7:44)
05-01 Get Coinbase API (5:33)
05-02 Buy Cryptocurrency From API (6:56)
06 Run Bot All Day (6:11)
07-01 How To Access Kraken API (5:22)
07-02 Buy Doge Algorithmically (5:22)
08-00 Project Preview (3:25)
08-01 Fetch Crypto Stock Data (5:40)
08-02 Visualize Crypto Data (4:32)
08-03 Scrape Historical Tweets (13:11)
08-04 Filter Tweets About Crypto Only (4:21)
08-05 Visualize Tweet Effects On Crypto Value (7:05)
09 Challenge - How To Expand Bot (2:47)
Source Files
Analyze and visualize data
00 Project Preview (3:17)
03-01 Fetch Stock Data (9:12)
03-02 Visualize Stock Data Features (7:32)
03-03 Calculate Daily Return (3:27)
03-04 Compare Returns Of Different Stocks (10:45)
03-05 Compare Closing Prices (8:48)
04-01 Visualize Standard Deviation And Expected Returns (5:44)
04-02 Calculate Value At Risk (3:52)
04-03 Monte Carlo Analysis To Estimate Risk (9:11)
04-04 Visualize Price Distribution (9:07)
Source Files
Build a stock web app
00 Project Preview (3:00)
01 Import Stock Data (7:47)
02 Build A Dash Web App (6:19)
03 Build Stock And Date Range Pickers (10:04)
04 Show Stock Data In The Web App (14:51)
Source Files
Predict stocks by analyzing Twitter
04-01 Fetch Twitter Sentiment And Stock Prices Datasets (5:34)
04-02 Merge Datasets Into Dataframe (11:46)
05-00 Project Preview (2:27)
05-01 What Is The Random Forest Classifier Model (5:42)
05-02 Process Stock And Sentiment Dataframe (5:48)
05-03 Processing And Sorting Sentiment Data-1 (14:40)
05-04 Calculate Stock Trend (Rising Or Falling) (8:16)
05-05 Build A Binary Encoding Of Sentiment (5:14)
05-06 Split And Scale Data (13:56)
05-07 Build A Random Forest Classifier Model (13:06)
05-08 Evaluate The Model (6:48)
06-00 Project Preview (1:33)
06-01 What Is Gradient Boosting (1:56)
06-02 Test Different Learning Rates (8:09)
06-03 Make A Prediction With A Gradient Boosting Classifier (7:13)
06-04 Evaluate The Model (3:20)
Source Files
Build TensorFlow.js models for the web
00-01b What You-ll Learn (7:12)
00-02 What Is Tensorflow Js (4:28)
00-03 Load Tensorflow Object (4:28)
01a-00 Linear Algebra For Machine Learning (4:44)
01a-01 Build Tensors (13:33)
01a-02 Tensor Utility Methods (9:12)
01a-03 Perform Math With Tensors (9:56)
01b-01 Build A Scatter Plot (8:41)
01b-02 Build A Bar Chart (5:33)
01b-03 Build A Histogram (6:39)
01c-01 Build Sample Data (5:16)
01c-02 Build The Model (11:14)
01c-03 Make A Prediction (7:47)
01d-01 Generate Data (13:38)
01d-02 Visualize Data (16:10)
02-00 What Is Linear Regression (7:52)
02-01 Prepare Training Data (7:10)
02-02 Build The Model (14:05)
02-03 Make A Prediction (3:53)
02b-01 Set Up The Canvas (3:48)
02b-02 Draw A Data Sample (6:20)
02b-03 Create Loss And Prediction Functions (6:00)
02b-04 Collect User Input For Data (8:50)
02b-05 Visualize Linear Regression With Dynamic Data (6:46)
03-01 Set Up The Canvas (11:00)
03-02 Visualize Linear Regression With Dynamic Data (16:33)
04-01 Generate Samples (6:21)
04-02 Generate A Prediction Equation With Weights (6:54)
04-03 Train The Model (5:26)
04-04 Visualize Predictions (18:01)
04-05 Visualize Prediction Error (10:00)
05-01 Load Models Into Html (5:51)
05-02 Train Model On Images (13:13)
05-03 Make A Prediction (6:58)
Source Files
Beginners Guide to Neural Networks in Tensorflow JS
00 What You-ll Learn (7:44)
04-00a What Is Deep Learning (6:08)
04-00b What Is A Neural Network (8:06)
04-01 Build A Perceptron (13:26)
04-02 Build A Sigmoid Function (8:01)
04-03 Build A Sigmoid Perceptron (7:35)
04-04 Build A Relu Activation Function (7:12)
04-05 Build A Leaky Relu Activation Function (6:10)
05-01 Build Neural Network Layers (9:57)
05-02 Train And Test The Neural Network (11:24)
06-01 Build A Dataset-1 (8:26)
06-02 Build A Neural Network-2 (5:35)
06-03 Train The Neural Network-3 (10:05)
06-04 Make A Prediction With The Neural Network-4 (8:43)
07-00 What Is Cross Validation-1 (8:24)
07-01 Load A Model Into Html-2 (4:57)
07-02 Use A Neural Network In Your Website-3 (8:49)
07-03 Show Neural Network Results On Website-4 (5:34)
08-01 Build A Dataset For Xor-1 (6:32)
08-02 Build A Neural Network For Xor-2 (5:19)
08-03 Train And Test The Neural Network-3 (11:06)
09-01 Load An Rnn Into Your Website-1 (5:37)
09-02 Set Up The Canvas-2 (7:06)
09-03 Draw With A Neural Network-3 (8:50)
10-01 Load An Image For Object Detection-1 (6:13)
10-02 Load A Neural Network For Object Detection-2 (6:15)
10-03 Outline Objects In The Image-3 (12:17)
11-01 Build A Deep Neural Network With Gradient Descent From Scratch-1 (9:21)
11-03 Build A Deep Neural Network With Gradient Descent With Tensorflow Js-2 (11:24)
11-04 Build A Deep Neural Network With Backpropagation-3 (7:03)
11-05 Build The Backpropagation-4 (16:56)
12-01 Reduce Neural Network Error-1 (17:12)
12-02 Build A Gradient Descent Algorithm-2 (8:48)
13 Train The Deep Neural Network With Gradient Descent (15:24)
Tensorflow JS Source Files
00a (Prerequisite) Introduction to HTML
02. What Is Jsbin (3:15)
01. Course Requirements (2:56)
03. Setting Up The Html Document (2:41)
04. Header Tags And Paragraphs Tags (4:06)
05. Styles (3:32)
06. Bold Underline And Italic Tags (3:10)
07. Adding In A Link (1:38)
08. Adding In A Image (3:01)
09. Adding A Link To An Image (1:55)
10. Lists (4:03)
11. Tables (3:29)
12. Different Kinds Of Input (4:59)
13. Adding In A Submit Button (3:01)
14. Scripts And Style Tags (3:27)
00a (Prerequisite) Introduction to JavaScript
01. Course Requirements (4:44)
02. Html, Css And Javascript Crash Course (4:54)
03. Adding In Functions (4:36)
04. Scaling Functions (4:27)
05. Changing The Text In Javascript (4:50)
06. Variables (5:40)
07. Arrays (5:30)
08. Objects (6:36)
09. Variable Scope (5:04)
10. Adding User Input Text (5:05)
11. Calling Functions (3:56)
12. If Statements (4:49)
13. Else If And Else Statements (4:05)
14. Changing The Style With Javascript (5:49)
01a (Prerequisite) Introduction to CSS
02. Html Styles Crash Course (4:45)
01. Course Requirements (3:41)
03. Adding Code To The CSS (4:46)
04. Adding In IDs To The CSS (5:16)
05. Classes In CSS (2:39)
06. Font Families (5:04)
07. Colors In CSS (5:44)
08. Padding In CSS (3:06)
09. Text Align And Transforms (3:14)
10. Margins And Width (5:33)
11. Changing The Body (4:11)
12. Latin Text Generator (1:57)
13. Adding In A Horizontal Menu With HTML And CSS (7:53)
14. Adding A Background Image (4:04)
15. Playing Around With Margins In CSS (2:20)
Advanced Machine Learning with TensorFlow.js
02-01 Load The Model With Text (4:18)
02-02 View Model Results Of Text Toxicity (6:40)
02-03 Clean Up Prediction Results (6:18)
03-01 Set Up The Speed Recognition Model (6:00)
03-02 Set Up The Canvas (3:26)
03-03 Classify Words Through Microphone (6:55)
03-04 Draw From User Commands (7:35)
03-05 Optimize The Drawing (5:53)
04-01 Tidy Tensors (6:26)
04-02 Keep Tensors (3:10)
04-03 Dispose Tensors (2:41)
04-04 Build A Memory Leak Example (4:35)
05-01 Load Json Data (7:34)
05-02 Convert Json Data To Tensor (9:08)
05-03 Visualize Dataset With Tf-Vis (5:38)
05-04 Build And Train Model (10:22)
05-05 Visualize Model-s Training Epochs (9:12)
05-06 Make A Prediction (13:49)
05-07 Visualize Prediction (9:09)
06-01 Load Dataset From Json File (6:48)
06-02 Visualize Dataset-s Features (9:26)
06-03 Build A Multi Layer Model (7:43)
06-04 Extract Inputs And Outputs (7:10)
06-05 Normalize Data (4:47)
06-06 Train The Model (6:01)
06-07 Evaluate Model Performance (6:12)
07-00 What Is Logistic Regression (4:32)
07-00B Calculate Logistic Regression Accuracy (5:20)
07-01 Build A Logistic Regression Model (7:08)
07-02 Train The Logistic Regression Model (15:20)
07-03 Visualize Logistic Regression Results (12:52)
07-04 Visualize Original Data (12:13)
07-05 Visualize Model Error (7:37)
08-00 What Is Fast Fourier Transform (2:42)
08-01 Build And Visualize A Dataset (10:48)
08-02 Visualize Frequencies With Fast Fourier Transform (11:53)
08-03 Visualize Inverse Fast Fourier Transform (5:44)
09-00 What Is Principal Component Analysis (6:13)
09-01 Build Principal Component Analysis (6:24)
09-02 Calculate Variance Of Data And Principal Component Analysis (9:28)
09-03 Visualize Data Slices (12:01)
09-04 Visualize Principal Component Analysis Results (3:03)
Source Files
Advanced Neural Networks with TensorFlow.js
02-01 Build Training Data (7:34)
02-00 What Is One Hot Encoding (6:53)
02-02 Build The Neural Network (6:48)
02-03 Train The Neural Network (9:33)
02-04 Make A Prediction (10:11)
03-01 Build Training Data To Represent Images (12:15)
03-02 Build The Convolutional Neural Network (10:39)
03-03 Train The Convolutional Neural Network (9:06)
03-04 Make A Prediction Of Number Of Lines (15:05)
04-00 What Is A Recurrent Neural Network (6:38)
04-01 Generate Sequence And Label (6:25)
04-02 Generate Dataset (6:02)
04-03 Build The Lstm Model (4:55)
04-04 Train The Model (11:25)
06-01 Process Iris Data (7:37)
06-02 Convert Data To Tensors (8:45)
06-03 Separate Training And Testing Data (8:54)
06-04 Create Training And Testing Datasets (4:42)
06-05 Build The Model (9:29)
06-06 Train The Model (4:11)
06-07 Make A Prediction (8:45)
07-01 Load Model And Dataset (5:57)
07-02 Get User Input For Sentiment Analysis (10:59)
07-03 Make A Prediction (7:11)
08-00 What Is A Convolutional Neural Network (19:29)
08-01 Set Up Canvas To Load Image Data (10:36)
08-02 Load Mnist Dataset (6:47)
08-03 Separate Training And Testing Data (5:40)
08-04 Build The Model (6:48)
08-04A What Are The Network-s Layers (14:14)
08-05 Train The Model (11:27)
08-06 Create Training Batches (6:14)
08-07 Create Testing Batches (11:31)
08-08 Fit Neural Network Through Data (8:54)
Source Files
SECTION 4 - Algorithmic Trading - Build trading strategies for crypto
00 Course Overview (4:39)
04-00 Backtesting Simple Moving Averages Explained (2:05)
04-01 Load Data For Backtesting Sma With Vectorbt (3:20)
04-02 Build Trading Strategies With Vectorbt (3:40)
04-03 Simulate Portfolio With Vectorbt (3:41)
04-04 Visualize Trading Strategy With Kaleido (4:40)
04b-00 What Is The Big Three Trading Strategy (2:27)
04b-01 Big Three Trading Strategy On Binance Coin (6:58)
04b-02 Big Three Trading Strategy On 1 Year Of Stocks (2:38)
05-00 Ema Trading Strategy For Crypto - Overview (2:57)
05-01 Load Data With Cryptometrics Api (7:53)
05-02 Visualize Historical Stock Prices With Matplotlib (6:31)
05-03 Build Exponential Moving Average Trading Strategy (3:54)
05-04 Visualize Price Vs Stock Indicators (5:37)
06-00 Autocorrelation Explained For Crypto Stock Prediction (2:45)
06-01 Load Data For Crypto Price Autocorrelation With Pandas (5:52)
06-02 Visualize Crypto Price Data With Pyplot (3:14)
06-03 Apply Hodrick-Prescott Filter To Data With Python (4:10)
06-04 Calculate Autocorrelation With Python (3:25)
Source Files
Build investing strategies to find best momentum stocks + Build investing strategies to find best value stocks
00 Project Preview (1:58)
03-01 Make An API Call (6:18)
03-02 Convert Data To A Pandas Dataframe (9:41)
03-03 Batch Api Calls To Improve Performance (11:23)
03-04 Calculate The Number Of Shares To Buy (7:18)
03-05 Build An Excel File From The Pandas Dataframe (4:18)
04-00 Project 2 Preview (2:42)
04-01 Make An API Call (9:47)
04-02 Execute A Batch API Call (14:59)
04-03 Remove Low Momentum Stocks (6:06)
04-04 Calculate The Number Of Shares To Buy (7:53)
04-05 Find High Quality Momentum Stocks (11:42)
04-06 Calculate Momentum Percentiles (7:19)
04-07 Find The 50 Best Momentum Stocks (8:10)
04-08 Calculate New Number Of Shares To Buy (5:30)
04-09 Build An Excel File (3:41)
05-00 Project 3 Preview (1:55)
05-01 Build A Dataframe (5:58)
05-02 Remove Glamour Stocks (5:01)
05-03 Calculate The Number Of Shares To Buy (3:51)
05-04 Build A Composite Of Valuation Metrics (15:22)
05-05 Clean Dataframe (5:49)
05-06 Calculate Value Percentiles (4:50)
05-07 Find The 50 Best Value Stocks (6:58)
05-08 Calculate New Number Of Shares To Buy (3:24)
Source Files
Algorithmic trading with Coinbase
03-01 Fetch Historic Rates (8:12)
00 Projects Preview (5:48)
03-02 Calculate Simple Moving Average (5:26)
04-01 Fetch Spot Price (5:51)
04-02 Fetch Historical Data (2:24)
05-01 Check Coinbase Account Balance (7:42)
05-02 Buy And Sell Cryptocurrency Algorithmically (9:58)
05-03 Send And Request Bitcoin Algorithmically (3:19)
Source Files
SECTION 5 - Crypto and Blockchain with Web3.js and Metaverse - Build Ethereum smart contracts with Solidity
00 Course Overview (8:42)
01-00 Blockchain Introduction (8:32)
01-01 What Are Blockchains And Distributed Ledgers (3:48)
01-02A What Are Bitcoin And Ethereum (5:28)
01-02B Ethereum Blockchain Properties (10:22)
01-02C Ethereum Deep Dive (10:23)
01-03 What Are Smart Contracts (2:01)
01-05 What Is An NFT (2:44)
01-04 What Is The Solidity Programming Language (4:01)
02-01 Introduction To Ethereum Remix IDE (8:12)
03-01 Build Your First Contract (8:48)
03-02 Change A State Variable Value (5:56)
04-01 Build A Local Variable (4:28)
04-02 Build State Variables Of Different Data Types (10:55)
04-03 Build A Custom Data Type With A Struct (4:47)
05-01 Build Arrays (11:07)
05-02 Build Array Functions (6:17)
06-01 Build A Mapping (6:20)
06-02 Build A Database-Like Mapping (7:42)
06-03 Assign Ownership To Individual Ethereum Addresses (4:59)
07-01 Build A Conditional (6:57)
07-02 Build A Loop (9:25)
08 Send Ether (8:31)
09-00 Build A Profit Splitter Contract (11:48)
09-01 Build A Contract With Limited Addresses (11:40)
09-02 Build A Contract And Library (15:01)
09-03 Build A Contract With A Limited Time Transaction (10:20)
09-04 Build Contracts With Inheritance (13:22)
09-05 Build Contracts With Visibility Modifiers (10:50)
09-06 Build A Contract With Mutability Modifiers (10:20)
09-07 Build An Abstract Contract (13:09)
09-08 Build A Bank Contract (9:25)
09-09 Access Struct Value (4:13)
10-01 What You Need To Deploy A Contract (9:47)
10-02 Build A New Truffle Project (6:46)
10-03 Build A Smart Contract (5:10)
10-04 Deploy The Contract On A Live Blockchain (13:42)
Source Files
Build NFT dApp for Ethereum
01 What You-ll Need (6:11)
00 Course Overview (8:12)
01c-00 What Is Node JS (8:22)
01c-01 Install Node And Npm On Mac Or Windows (3:14)
02-00 What Is Truffle Ethereum (1:29)
02-01 Build A Truffle Project (8:39)
03-00 What Are Nft Token Standards (5:42)
03-01 Install Openzeppelin Nft Token Standard (10:08)
03-02 Build NFT Smart Contract (12:14)
04-00 Introduction To Testing Smart Contracts (2:23)
04-01 Build A Test For Your Nft Smart Contract (7:16)
05-00 What Is Ganache (1:42)
05-01 Deploy Smart Contract With Ganache Personal Blockchain (7:40)
06 Test Nft Contract Properties (5:40)
07-01 Build Mint Tokens Functionality (6:20)
07-02 Test Minting Tokens (9:20)
07-03 Test Indexing Tokens (6:32)
08a-00 Why You Should Learn React (5:30)
08a-01 React Introduction (12:33)
08a-02 Set Up A Container (8:13)
08a-03 Generate A List (6:46)
08a-04 Add Items To The List (6:34)
08a-05 Clear Input Field (10:26)
08a-06 Remove A Task (10:39)
08b Build Index HTML File (3:49)
09-00 What Is Web3js (2:06)
09-01 Build App And Load Web3 (4:48)
09-02 Run Project With React-Scripts (10:29)
09-03A Install Metamask (2:14)
09-03B Load Blockchain Data (10:27)
10-01 Build A Form To Mint Tokens (6:26)
10-02 Send Client Mint Request To The Contract (8:35)
10-03 Mint Tokens With Truffle Console (4:37)
Source files
(Prerequisite) Advanced Javascript
01 01 Introduction To The Course (1:30)
01 03 Why Should You Learn Javascript (0:51)
01 04 Quick Win (1:36)
01 05 Course Requirements (0:39)
02 01 What Will We Learn In This Section (0:43)
02 02 Declare Variables With Let And Const (15:45)
02 03 Blocks And Iifes (11:41)
02 04 Strings In Es2020 (11:40)
02 05 Coding Challenge (0:47)
02 06 Coding Challenge Solution (2:05)
02 07 Section Summary (0:44)
03 01 What Will We Learn In This Section (0:40)
03 02 Basics Of Arrow Functions (14:59)
03 03 Lexical This Keyword (10:28)
03 04 Coding Challenge (0:43)
03 05 Coding Challenge Solution (3:04)
03 06 Section Summary (0:43)
04 01 What Will We Learn In This Section (0:31)
04 02 Destructuring (15:31)
04 03 Arrays In Es2020 (16:32)
04 04 Spread Operator (12:52)
04 05 Coding Challenge (0:48)
04 06 Coding Challenge Solution (3:43)
04 07 Section Summary (0:45)
05 01 What Will We Learn In This Section (0:36)
05 02 Rest Parameters (15:56)
05 03 Default Parameters (18:34)
05 04 Coding Challenge (0:49)
05 05 Coding Challenge Solution (3:59)
05 06 Section Summary (0:31)
06 01 What Will We Learn In This Section (0:43)
06 02 Maps (20:26)
06 03 Coding Challenge (0:40)
06 04 Coding Challenge Solution (2:47)
06 05 Section Summary (0:26)
07 01 What Will We Learn In This Section (0:38)
07 02 Classes (16:26)
07 03 Classes With Subclasses (16:36)
07 04 Coding Challenge (0:56)
07 05 Coding Challenge Solution (2:49)
07 06 Section Summary (0:52)
08 01 What Will We Learn In This Section (1:01)
08 02 Asynchronous Javascript Example (11:18)
08 03 The Event Loop (12:15)
08 04 Asynchronous Javascript With Callbacks (9:17)
08 05 Promises (21:15)
08 06 Async Await (11:41)
08 07 Ajax And Apis (6:36)
08 08 Make Ajax Calls With Fetch And Promises (11:25)
08 09 Make Ajax Calls With Fetch And Async Await (7:29)
08 10 Coding Challenge (0:45)
08 11 Coding Challenge Solution (7:40)
08 12 Section Summary (0:55)
09 01 Course Summary And Next Steps (2:25)
(Prerequisite) Introduction to React
00 Why You Should Learn React-1 (5:30)
01 React Introduction-2 (12:33)
02 Set Up A Container-3 (8:13)
03 Generate A List-4 (6:46)
04 Add Items To The List-5 (6:34)
05 Clear Input Field-6 (10:26)
06 Remove A Task-7 (10:39)
Source Files
Build Beginner dApp for Ethereum + Build dApps + Build NFT smart contract for OpenSea marketplace
00a-01 What You-ll Need - Web3 (3:34)
00a-00 Course Overview - Web 3.0 (12:56)
00a-02 Web 3.0 Fundamentals (12:17)
01a-00 Project Overview (6:35)
01a-01B What Is Truffle Ethereum (1:29)
01a-02 What Is Web3js (1:29)
01a-03 Install Metamask (2:14)
01a-04 What Is Ganache (1:42)
01b-01 Build And Compile Truffle Solidity Smart Contract (6:10)
01b-02 Deploy And Migrate Truffle Solidity Smart Contract (9:26)
01d-00 Project Preview (1:52)
01d-01 Build A New React App (4:08)
02-02 Build A Main Component (5:40)
02-03 Display Main Component On Webpage (2:10)
02-04 Build A Signin Component (2:53)
03-05 Build Sign In Handler In Sign In Component (6:59)
03-06 Handle Signin In App Component (9:47)
03-07 Test With Ganache And Metamask (4:31)
03-08 Tips For Debugging Web3 Dapps (2:36)
04-00 Project Preview (1:31)
04-01 Build A React App With Components (6:11)
04-02 Detect Metamask Crypto Wallet With Web3 (10:28)
04-03 Connect Components To App (7:41)
04-04 Handle Account Or Network Change (10:48)
05-00 Project Preview (3:45)
05-01 Build A New Truffle Project Project (14:10)
05-02 Build A Local Blockchain With Ganache CLI (15:58)
05-03 Deploy Contracts To Local Blockchain (10:58)
05-04 Send Transaction To Run Function On Your Contract (5:41)
06-05 Use Infura To Connect To Public Networks (4:03)
06-06 Fork Infura Client To Local Ganache Blockchain (16:32)
07-01 Build A New Truffle Project (1:54)
07-02 Configure Metamask To Use Mumbai Testnet (4:25)
07-03 Get An Rpc Url Key With Maticvigil (2:38)
07-04 Build An Nft Solidity Smart Contract (7:38)
08-05 Build Collection Data And Nft Data (3:46)
08-06 Upload Images And Json To Pinata Ipfs (4:12)
09-07 Migrate Contracts To Mumbai Network (7:01)
09-08 Mint Tokens At Contract Address (11:31)
09-09 View NFT On Opensea (6:24)
10-00 Project Overview (11:29)
10-01 Build A New Hardhat Project (3:13)
10-02 Build A Simple Nft Contract With Openzeppelin Erc721 Standard (6:03)
10-03 Test Smart Contract With Ethereum Waffle (11:56)
10-04 Log To Console In Solidity With Hardhat (3:46)
10-05 Deploy Contract To Local Network (7:31)
12-03 Build Html To Interact With Smart Contract Via Website (5:41)
12-04 Connect To Metamask With Javascript Web3 (9:55)
12-05 Enable User To Interact With Smart Contract Via Website (8:16)
12-06 Test Dapp With Server, Metamask And Ganache (10:53)
13-00 Project Overview (4:14)
13-01 Build React Truffle Project From Scratch (2:27)
13-02 Build A Smart Contract For Minting NFTs (8:56)
14-03 Initialize Web3 In React (7:05)
14-03A Understanding Initializing Web3 (2:02)
14-04 Deploy Smart Contract To Get Address And Abi (6:52)
14-05 Build Frontend Nft Minting Functionality (7:34)
14-06 Build Website Elements For User Interaction (8:54)
14-07 Test Project With Metamask And Ganache (6:44)
15a-00 Project Overview (2:44)
15a-01 Set Up Truffle Dapp With Create React App (3:25)
15a-02 Build A To Do List Smart Contract (7:19)
15b-03 Connect To Smart Contract In Web App (9:15)
15b-04 Migrate Smart Contract On Local Ganache Blockchain (8:16)
15b-05 Build Api Key Env Variable From Blocknative Notifier (3:55)
15b-06 Connect Backend Smart Contract Functionality To Frontend (6:50)
15b-07 Listen For Messages From Metamask Browser Wallet (4:54)
15c-08 Build Website Elements For User Interaction (6:25)
15c-09 Test Project With Metamask And Ganache (4:39)
15c-10 Style Completed Tasks (3:09)
Source files
Connect to XRP Ripple blockchain with JavaScript
00 Course Overview (4:47)
02-01 What Is The XRP Ledger (5:10)
02-02 What Is The XRPL Consensus Protocol (5:25)
02-03 Xrpl Ecosystem (3:19)
02-04 Xrp And Ripple Company (1:24)
02-05 Xrpl Payment Types (1:22)
05-01 Access Xrpl With A Web Browser (6:06)
05-02 Xrpl Public Server Explained (1:43)
05-03 How To Debug Javascript (3:14)
05-04 Connect To Xrpl Testnet With Js (2:23)
05-05 Look Up Xrpl Transaction With Js (3:57)
05-06 Convert Drops To Xrp With Js (1:33)
06-01 Build An Xrpl Crypto Wallet And Keys (2:34)
06-02 Build And Fund Xrpl Testnet Wallet (3:11)
07-01 Prepare Xrp Transaction With Js (5:00)
07-02 Sign And Submit Xrp Transaction With Js (3:58)
08-01 Introduction To Xrpl Websocket (2:32)
08-02 Connect To Xrp Ledger With Websocket (6:13)
08-03 Handle Xrpl Server Messages With Websocket (9:34)
Source files
Build NFTs with Metaplex for Solana blockchain
01 What Is Metaplex (2:02)
00 Course Overview (3:52)
02 Why Choose Metaplex (2:15)
03-01 What Is Solana_1 (6:56)
03-02 What Can You Do With The Solana Blockchain (3:57)
03-03 What Is Metaplex Candy Machine (2:20)
04-01 Project Overview (1:10)
06-01 What Is Brew (1:52)
06-02 Install Brew On Mac (3:34)
06b-01 What Is Git (3:00)
06b-02 Install Git On Mac (4:06)
06b-03 Update Git On Mac (3:56)
06b-04 Install Git On Windows (3:20)
06c-01 What Is Yarn (2:16)
06c-02 Install Yarn On Mac (4:22)
06d-01 What is yarn (2:16)
06d-02 Install yarn on Mac (4:22)
06d-03 Install yarn on Windows (3:32)
06e-01 What Is Ts-Node (1:52)
06e-02 Install Ts-Node On Mac (4:05)
06e-03 Install Typescript And Ts-Node On Windows (2:06)
07 Install Apple M1 Tools For Metaplex Candy With Brew (3:05)
08 Install Metaplex And Dependencies (6:08)
09-01 Build A Crypto Wallet With Solana Tool Suite (3:40)
09-01 Install Solana Cli On Mac (10:26)
09-02 Install Solana Cli On Windows (4:15)
10 Build A Crypto Wallet With Solana Tool Suite (3:40)
11-01 Build A Devnet Wallet With Solana (6:02)
11-02 Configure Nft Project For Candy Machine (4:47)
11-03 Build Nft Asset Metadata For Metaplex Candy (3:38)
11-04 Upload Nft Assets To Candy Machine (4:51)
11-05 Verify Nft Assets On Candy Machine (1:34)
11-06 Mint Nfts With Metaplex Candy Cli (3:13)
12-07 Build Website For Nft Minting With Metaplex Candy (9:47)
12-08 Install Phantom Solana Crypto Wallet (6:07)
12-09 Connect Phantom Wallet To Metaplex Nft Dapp (5:09)
Source files
Connect to the Cardano blockchain
00 Course Overview - Hands-On Cardano Blockchain Crash Course (3:25)
01-01 What Is Cardano (3:01)
01-01B What Is A Smart Contract
01-02 What Can You Do With Cardano (5:04)
01-03 What Are Cardano Native Tokens (1:24)
04-01 What Is Brew (1:52)
04-02 Install Brew On Mac (3:34)
05-01 What Is Git (3:00)
05-02 Install Git On Mac (4:06)
05-03 Update Git On Mac (3:56)
05-04 Install Git On Windows (3:20)
06-01 Install Brew Tools For Cardano On Mac (3:17)
06-02 Install Ghc And Cabal On Mac (6:58)
06-03 Download And Compile Cardano (11:39)
07 Install Cardano Cli And Cardano Node On Windows (6:50)
08-01 Set Cardano Node Socket Path (2:22)
08-02 Generate Cardano Wallet Keys And Address (5:35)
08-03 Fund Cardano Wallet Address (3:19)
09-01 Run Cardano Node Via Cli (8:05)
09-02 Export Cardano Protocol Parameters- (2:44)
09-03 Check If Cardano Node Fully Synced (2:50)
Source files
Haskell Fundamentals
00 What Is Haskell (10:21)
00b-Source Files
01 Build A Function (11:26)
02 Argument Precendence Example (5:00)
03 Dollar Notation Example (4:57)
04 Dot Notation Example (3:32)
05 Build Data Types (7:18)
06 Build A Loop With Recursion (4:53)
07 Use Tuples Example (3:15)
08 Build Tokens (4:07)
09 Build A List (5:48)
10 Build Multi Value Data Types (4:12)
11 Implement A Recursive List Algorithm (5:49)
12 Use The Built-In List Type (4:21)
13 Build A Tokenizer (4:34)
14 Find If Element Is In List (6:36)
15 Currying Example (4:38)
16 Build Guards (5:19)
17 Convert String To List (3:16)
18 Build Fibonacci With Guards (6:26)
Build smart contracts with Plutus for Cardano
00 Course Overview (3:00)
02-01 Haskell Vs Solidity For Smart Contract Development (2:48)
02-02 What Is Cabal For Haskell Development (0:56)
02-03 What Is Hackage For Haskell Development (1:22)
02-04 What Is A Cabal Package For Haskell Development (2:07)
03b-01 Install Cabal On Mac Or Linux (4:36)
03b-02 Install Chocolatey On Windows (2:59)
03b-03 Install Haskell Compiler And Cabal On Windows (4:55)
04-01 Build A Hello World Haskell Project With Cabal (5:02)
04-02 What Is Main Haskell Module In Hello World Cabal Project (9:00)
04-03 What Is Cabal File In Cabal Project (6:15)
04-04 Run Haskell Files With Cabal Cli (4:55)
04-05 Install Haskell Packages With Cabal (6:03)
05-01 What Is Plutus And (E)Utxo Model Of Smart Contract Development (7:24)
05-02 What Are Plutus Smart Contracts For Cardano (2:10)
05-03 What Is A Plutus App On Cardano Blockchain (2:11)
06-01 Build A Hello World Plutus Contract (4:57)
06-02 Test Cardano Haskell Smart Contracts With Plutus Simulator (5:32)
source files
Build Marlowe smart contracts for Cardano
00 Course Overview (3:08)
00c Marlowe Deep Dive (4:48)
00c-01 Build A Smart Contract In Marlowe (12:28)
01a Build A Simple Send Crypto Contract (9:04)
01b Build A Selectable Amount Contract (6:40)
02-00 Escrow Contract Overview (11:32)
02-01 Set Up The Contract (6:38)
02-02 Build The Inner Contract (4:51)
02-03 Build Agreement And Arbitrate (4:01)
02-04 Build Choices (4:40)
02-05 Build Choice Values And Test (5:51)
03-00 Pay Employees Contract Overview (2:48)
03-01 Build Employees And Amounts (2:12)
03-02 Build A Deposit Action (3:45)
03-03 Build A Payment Contract (2:43)
03-04 Set Up The Contract (7:10)
04-00 Token Exchange Contract Overview (3:22)
04-01 Set Up The Contract (8:53)
04-02 Build Actions (4:27)
04-03 Build Agreement Contract (12:29)
05-00 Fundraiser Smart Contract Overview (1:13)
05-01 Set Up Contract And Choices (4:15)
05-02 Pay Fundraising Party (5:12)
05-03 Build A Refund Contract (3:05)
05-04 Fundraise From All Parties (7:05)
06-00 Collateral Escrow Contract Overview (3:24)
06-01 Set Up Contract (5:32)
06-02 Build Collaterals (4:00)
06-03 Build Timeouts (3:02)
06-04 Issue Refunds (6:27)
06-05 Burn Collateral (2:51)
06-06 Build Choices (4:00)
06-07 Test The Contract (6:08)
07-00 Discount Bond Contract Overview (2:30)
07-01 Set Up Contract (3:11)
07-02 Build A Transfer (3:14)
07-03 Build Timeouts And Test Contract (5:13)
Build Metaverse scenes on Decentraland with TypeScript
01a-01 What Is Decentraland (2:05)
00 Course Overview (6:26)
01a-02 What Is Decentraland’S Land (2:50)
01a-03 Decentraland’S Dao - Who Runs Decentraland (4:11)
01a-04 Ethereum And Decentraland’S Land (5:00)
01a-05 How Do I Develop For Decentraland (2:07)
01b-01 What Can You Do With The Decentraland Sdk (2:40)
01b-02 What Do You Need To Develop For Decentraland (1:55)
01b-03 What Are Decentraland’S Scenes (2:26)
04 Install Decentraland CLI (4:57)
05. Typescript Intro (20:52)
06-01 Build A Simple Decentraland Scene (10:09)
06-02 Edit Decentraland Scene Elements (5:27)
06-03 Build Decentraland 3D Models With Builder (14:38)
Source files
FREE BONUS - Build Apps with Python Tkinter - 01a Build a Hello World GUI app with Python Tkinter
01a Source Files
01 Build A Hello World Gui App With Python Tkinter (4:12)
01b Build a dice roller GUI app with Python Tkinter
01b Source files
01 Build A Dice Roller Gui App With Python Tkinter (3:08)
02 Add Styling To Gui Elements In Python Dice Desktop App (6:33)
03 Implement Rolling Functionality With Python (2:51)
02a Build GUI app with buttons in Python Tkinter
02 Build Button Functionality In Python Tkinter (4:36)
01 Build Gui App With Buttons In Python Tkinter (4:48)
02a Source files
02b Build a clock GUI app with Python Tkinter
02 Build Clock Functionality In Python (3:38)
01 Build A Clock Gui App With Python Tkinter (4:02)
02b Source files
02c Build a form GUI app with Python Tkinter
01 Build A Form Gui App With Python Tkinter (5:20)
02 Save Tkinter Form Input With Python (6:24)
02c Source files
03 Build a to do list GUI app with Python Tkinter
02 Enable Adding New Item To Task List (4:43)
01 Build A To Do List Gui App With Python Tkinter (6:29)
03 Add Colors To Python Gui App (7:16)
03 Source files
04 Build a notepad GUI app with Python Tkinter
01 Build A Notepad Gui App With Python Tkinter (2:42)
02 Build Menu In Python Tkinter App (6:12)
03 Implement Command Functionality In Python User Interface (5:40)
04 Source files
05 Build a metric convertor GUI app with Python Tkinter
01 Build A Metric Convertor Gui App With Python Tkinter (7:14)
02 Convert Meters To Feet In Python Tkinter App (2:03)
05 Source files
06 Build a translate GUI app with Python Tkinter
01 Build A Translate Gui App With Python Tkinter (9:38)
02 Implement Translation With Google Api In Python App (5:27)
03 Show Exceptions In Tkinter Message Box (2:05)
06 Source files
07 Build a quiz desktop app with Python Tkinter
02 Build A Quiz Gui With Python Tkinter (4:26)
01 Build Quiz Questions Csv File (2:26)
03 Build Buttons In Python Tkinter Desktop App (7:01)
04 Load Csv Into Python List (6:14)
05 Show Questions From Csv File In Python Tkinter App (4:31)
06 Show Answer Options From Csv File In Python Tkinter App (5:14)
07 Show Next Question In Quiz Desktop App (4:40)
07 Source files
08 Update Answer Options Every New Question (3:38)
08 Track user's score in Python Tkinter quiz app
01 Track User-s Score In Python Gui App (2:57)
02 Check If Answer Correct With Python (2:57)
08 Source files
09 Build a fullstack database app with Python Tkinter and SQLite
02 Build Data Entry Fields With Python Tkinter (5:33)
01 Build Gui Grid With Python Tkinter (5:47)
03 Build Data Display Fields With Python Tkinter (4:57)
09 Source files
10 Build Python backend for SQLite database app
02 Insert Entry Into Sqlite Database With Python (2:48)
01 Build And Connect To Sqlite Database In Python (3:44)
03 View All Entries In Sqlite Database With Python (2:33)
10 Source files
11 Interact with SQLite database with Python GUI app
02 Show All Database Entries In Python Tkinter App (3:51)
01 Add Entry From Python Gui To Sqlite Database (6:08)
11 Source files
12 Update entry in SQLite database from Python desktop app
02 Update Sqlite Database Entry In Python Tkinter App (5:02)
01 Update Entry In Sqlite Database With Python (3:02)
12 Source files
13 Delete entry in SQLite database from Python desktop app
01 Delete Entry From Sqlite Database With Python (2:19)
02 Delete Sqlite Database Entry Through Python Tkinter App (3:46)
13 Source files
14 Search for entry in SQLite database from Python desktop app
01 Search For Entry In Sqlite Database With Python (4:07)
02 Search For Entry In Sqlite Database From Python Desktop App (5:25)
14 Source files
15 Build Python Tkinter teacher database gui app
01 Build Python Tkinter Student Database Grid (8:00)
02 Build Input Fields In Python Desktop App (4:58)
15 Source files
16 Build SQLite multi table database with Python
02 Create Row In Database With Python (5:48)
01 Connect To Database With Python (5:45)
03 Read One Value From All Rows In Database With Python (3:42)
16 Source files
17 Connect SQLite backend with Python Tkinter frontend
01 Create Row In Database From Frontend (6:32)
02 Show Backend Db In Frontend Python Gui (3:08)
17 Source files
07-04 Find Best Ml Model With Optimal Number Of Estimators
Lesson content locked
If you're already enrolled,
you'll need to login
.
Enroll in Course to Unlock