Udemy Machine Learning Applied to Stock Crypto Trading Python

Files Included :

1 Welcome and Course Introduction.mp4 (121.67 MB)
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2 Where to Ask Questions.mp4 (31.04 MB)
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3 Resources Folder Overview.mp4 (14.98 MB)
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3 1 MLTrading.zip (9.52 MB)
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4 Plan of Attack - Course Structure.mp4 (134.59 MB)
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1 Theory - Deep Learning Neural Network Anatomy.mp4 (228.82 MB)
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2 Deep Learning - Feature Engineering Part I.mp4 (91.77 MB)
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3 Deep Learning - Feature Engineering Part II.mp4 (21.31 MB)
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4 Deep Learning - Neural Net and Data Build.mp4 (67.34 MB)
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5 Deep Learning - Model Training.mp4 (79.52 MB)
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6 Deep Learning - (Optional Code Walkthrough) - LSTM Sequential Model.mp4 (121.82 MB)
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1 Theory - Reinforcement Learning Complete Basics.mp4 (329.57 MB)
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10 RL - Environment Step Function.mp4 (21.68 MB)
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11 RL - Environment Reset and Render.mp4 (30.89 MB)
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12 RL - Environment Testing.mp4 (61.78 MB)
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13 RL - Utilities.mp4 (15.63 MB)
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14 RL - PPO Memory.mp4 (51.81 MB)
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15 RL - PPO Actor and Critic Neural Networks Construction.mp4 (77.58 MB)
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16 RL - PPO Agent Construction.mp4 (138.98 MB)
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17 RL - PPO Agent Testing.mp4 (65.1 MB)
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18 RL - PPO Training Agent.mp4 (87.15 MB)
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19 RL - Load and Structure Predictions.mp4 (70.49 MB)
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2 Theory - Proximal Policy Optimisation (PPO) Overview.mp4 (205.83 MB)
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20 RL - View Results and Summarize Sine Trading.mp4 (39.55 MB)
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21 RL II - Modify Environment and Data for Trading AAPL Stock.mp4 (126.32 MB)
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3 RL - First Steps.mp4 (41.55 MB)
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4 RL - Sine Wave Construction.mp4 (41.41 MB)
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5 RL - Environment Variables.mp4 (43.21 MB)
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6 RL - Environment Reward Structure.mp4 (25.37 MB)
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7 RL - Environment Observation Structure.mp4 (41.66 MB)
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8 RL - Environment Action Helper Functions.mp4 (31.13 MB)
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9 RL - Environment Action Function.mp4 (70.54 MB)
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1 Congratulations and Next Steps.mp4 (25.93 MB)
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1 The Biggest Illusion in Trading.mp4 (138.24 MB)
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2 Probability Odds - The Math Does Not Lie.mp4 (84.62 MB)
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3 Gaining An Edge With Statistical Arbitrage.mp4 (29.7 MB)
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4 Position Sizing with Kelly Criterion.mp4 (183.67 MB)
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5 An Edge from Making Markets.mp4 (38.41 MB)
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6 Profiting in Up Down and Sideways Markets.mp4 (131.07 MB)
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7 Managing Exchange and Volatility Risk.mp4 (53.36 MB)
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1 1 MLTrading.zip (9.53 MB)
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1 What is Machine Learning.mp4 (91.13 MB)
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2 A Brief Overview of Machine Learning.mp4 (148.03 MB)
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3 Stage 1 - Data Ingestion.mp4 (62.15 MB)
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4 Stage 2 - Feature Engineering.mp4 (90.64 MB)
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5 Stage 3 - Model Selection and Training.mp4 (134.07 MB)
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6 Stage 4 - Performance Evaluation.mp4 (168.13 MB)
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7 Stage 5 - Model Deployment.mp4 (77.08 MB)
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1 Option 1 - Google Colab.mp4 (31.17 MB)
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2 Option 1 - Google Colab Reading Existing Notebooks.mp4 (4.76 MB)
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3 Option 1 - Google Colab Solving for Pandas Datareader (with YFinance).mp4 (20.19 MB)
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4 Option 2 - Notebooks Installing Python and Anaconda.mp4 (20.1 MB)
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5 Option 2 - Notebooks Creating a Conda Environment.mp4 (118.26 MB)
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6 Where to Get Data.mp4 (110.97 MB)
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7 Bonus Getting Poloniex and Binance Data.mp4 (239.36 MB)
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1 Python 101 - Variables and Arrays.mp4 (116.39 MB)
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10 Feature Engineering 101 - Data Preprocessing Part I.mp4 (163.03 MB)
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11 Feature Engineering 101 - Data Preprocessing Part II.mp4 (79.74 MB)
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12 Feature Engineering 101 - Applied Machine Learning.mp4 (69.97 MB)
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13 Statistics - Testing for Market Efficiency Code Walkthrough.mp4 (51.46 MB)
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2 Python 101 - Dictionaries.mp4 (32.74 MB)
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3 Python 101 - If Statements and Loops.mp4 (96.91 MB)
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4 Python 101 - Functions and Classes.mp4 (66.43 MB)
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5 Pandas 101 - Retrieve Data and Calculate Returns.mp4 (95.29 MB)
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6 Pandas 101 - Structure Conditions and Iterations.mp4 (47.53 MB)
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7 Pandas 101 - Value Extraction, Multiple Adj, Save and Load.mp4 (56.18 MB)
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8 Backtesting 101 - Calculations and Strategy Returns.mp4 (110.26 MB)
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9 Backtesting 101 - Metrics and Equity Curve.mp4 (55.82 MB)
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1 Theory - Unsupervised Machine Learning Introduction.mp4 (59.2 MB)
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10 HMM II - Making Use of Hidden States.mp4 (37.48 MB)
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11 HMM II - Saving Outputs.mp4 (9.29 MB)
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2 Theory - Hidden Markov Models Intuition.mp4 (175.03 MB)
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3 HMM - Initial Data Structuring.mp4 (71.5 MB)
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4 HMM - Model Training.mp4 (40.68 MB)
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5 HMM - Viewing Hidden States.mp4 (68.17 MB)
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6 HMM II - Data Structuring.mp4 (56.12 MB)
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7 HMM lI - Model Predictions.mp4 (31.01 MB)
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8 HMM II - Structuring Backtest.mp4 (108.94 MB)
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9 HMM II - Initial Metrics.mp4 (52.3 MB)
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1 Theory - K-Means Clustering Intuition.mp4 (68.69 MB)
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2 K-Means Setup.mp4 (40.83 MB)
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3 K-Means Data Extraction.mp4 (57.18 MB)
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4 K-Means Feature Engineering.mp4 (34.12 MB)
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5 K-Means Applied and Visualized.mp4 (62.22 MB)
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6 K-Means Removing Outliers.mp4 (30.72 MB)
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7 Pairs Trading - Calculating Cointegrated Pairs.mp4 (137.21 MB)
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8 K-Means - (Optional) - Visualizing TSNE Plot.mp4 (74.4 MB)
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9 Pairs Trading - Calculating Spread and ZScore.mp4 (90.44 MB)
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1 Theory - Principle Component Analysis.mp4 (65.69 MB)
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2 PCA - Data Extraction.mp4 (68.55 MB)
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3 PCA - Data Preprocessing - Handling Stationarity.mp4 (49.59 MB)
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4 PCA - Train Test Split.mp4 (41.85 MB)
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5 PCA - Completion with Visualization.mp4 (104.13 MB)
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6 Random Forest Classification - Results.mp4 (85.65 MB)
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7 Unsupervised Learning - Summary.mp4 (13.25 MB)
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1 Theory - Random Forests vs XGBOOST.mp4 (169.5 MB)
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10 XGB II - Model Fitting.mp4 (84.02 MB)
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11 XGB II - Model Evaluation - Measuring Loss and ROC.mp4 (66.33 MB)
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12 XGB II - Model Evaluation - Performance Comparison.mp4 (52.59 MB)
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13 XGB II - Model Evaluation - Summary Report.mp4 (18.14 MB)
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14 XGB II - Model Evaluation - Confusion Matrix.mp4 (23.04 MB)
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15 XGB II - Model Evaluation - View Tree.mp4 (64.11 MB)
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2 XGB Preprocessing - Data Ingestion.mp4 (92.31 MB)
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3 XGB Preprocessing - Feature Expansion.mp4 (69.37 MB)
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4 XGB Preprocessing - Stationarity.mp4 (68.92 MB)
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5 XGB Preprocessing - Train Test Split.mp4 (61.79 MB)
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6 XGB - Hyperparameter Optimization.mp4 (123.36 MB)
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7 XGB - Initial Model Training.mp4 (79.39 MB)
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8 XGB - Feature Selection.mp4 (51.56 MB)
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9 XGB II - Train Test Split.mp4 (86.94 MB)
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