1 Introduction.mp4 (7.08 MB)
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2 Trading Concepts.mp4 (75.62 MB)
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3 Trading Process.mp4 (37.6 MB)
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4 Machine Learning Basics.mp4 (55.86 MB)
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5 Machine Learning in Trading.mp4 (14.74 MB)
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1 Introduction.mp4 (4.67 MB)
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2 Jupyter.mp4 (3.5 MB)
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3 Jupyter Tour.mp4 (25.11 MB)
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4 Pandas and Numpy.mp4 (3.31 MB)
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5 Numpy Basics.mp4 (39.75 MB)
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6 Pandas Basics.mp4 (59.83 MB)
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7 Plotting.mp4 (1.61 MB)
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8 Seaborn and MatPlotLib.mp4 (73.69 MB)
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1 Introduction.mp4 (3.8 MB)
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2 Types of Data.mp4 (22.25 MB)
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3 Methods to Access Data.mp4 (12.93 MB)
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4 Alpha Vantage.mp4 (23.53 MB)
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5 Alpha Vantage Access Data With Python.mp4 (120.88 MB)
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6 AlphaVantage Big Range.mp4 (103.21 MB)
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7 MetaTrader.mp4 (21.17 MB)
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8 Metatrader Access Data With Python.mp4 (99.11 MB)
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1 Introduction.mp4 (4.82 MB)
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2 Feature and Target Extraction.mp4 (22.88 MB)
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3 Data Usage Considerations.mp4 (12.79 MB)
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4 PandasTa.mp4 (60.82 MB)
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5 PandasTa Target Design.mp4 (53.13 MB)
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6 PandasTa Feature Feature Design.mp4 (89.28 MB)
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7 Visualizing Features and Targets.mp4 (134.17 MB)
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8 Visualizing Features and Targets Continuation.mp4 (28.35 MB)
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1 Introduction.mp4 (1.32 MB)
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10 Classification vs Regression.mp4 (45.36 MB)
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11 Conver Returns to Classification.mp4 (165.03 MB)
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12 Bayesian Log Regression.mp4 (18.31 MB)
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13 Bayesian Log Regression for Price Direction in Python.mp4 (131 MB)
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14 Bayesian Log Regression for Price Direction in Python Cont.mp4 (60.08 MB)
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2 Bayesian Mindset.mp4 (14.45 MB)
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3 Bayesian Mathematics.mp4 (17.27 MB)
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4 Bayesian Application in Spam Detection.mp4 (25.4 MB)
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5 Bayesian For Parameter Estimation.mp4 (23.37 MB)
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6 Bayesian For Parameter Estimation Cont.mp4 (19.1 MB)
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7 Pymc.mp4 (6.92 MB)
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8 Pymc Basics.mp4 (133.31 MB)
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9 Parameter Estimation using Pymc.mp4 (59.32 MB)
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1 Introduction.mp4 (3.06 MB)
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10 Decision Tree for Classification All Features.mp4 (40.97 MB)
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11 Cross Validation.mp4 (20.49 MB)
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12 Cross Validation with Python.mp4 (41.99 MB)
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13 Cross Validation with Python Cont.mp4 (23.92 MB)
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14 Tuning Decision Tree.mp4 (51.21 MB)
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15 Train Size Selection.mp4 (70.86 MB)
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16 Random Forest.mp4 (16.49 MB)
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17 Random Forest with Python.mp4 (31.77 MB)
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18 Random Forest Tuning.mp4 (38.18 MB)
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2 Decistion Tree Basics.mp4 (22.02 MB)
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3 Decistion Tree Regression.mp4 (19.27 MB)
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4 Decistion Tree to Estimate Returns.mp4 (64.11 MB)
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5 Decistion Tree to Estimate Returns Cont.mp4 (44.27 MB)
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6 Decistion Tree to Estimate Returns Cont.mp4 (91.65 MB)
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7 Decistion Tree with All Features.mp4 (23.33 MB)
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8 Split Train and Test.mp4 (30.79 MB)
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9 Decision Tree for Classification.mp4 (50.65 MB)
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1 Introduction.mp4 (2.44 MB)
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2 Ensemble.mp4 (35.87 MB)
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3 DT Boosting.mp4 (87.43 MB)
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4 Boosting with Test data.mp4 (49.23 MB)
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5 Boosting Cross Validation.mp4 (64.56 MB)
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6 Boosting Cross Validation Cont.mp4 (55.93 MB)
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1 Introduction.mp4 (2.87 MB)
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2 Deep Learning.mp4 (38.72 MB)
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3 What is Gradient Descent.mp4 (30.51 MB)
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4 Feed Forward Neural Network.mp4 (31.85 MB)
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5 Feed Forward Neural Network Tensorflow.mp4 (116.08 MB)
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6 Feed Forward Neural Network Hyperparameter Tuning.mp4 (59.23 MB)
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7 Feed Forward Neural Network Hyperparameter Tuning Cont.mp4 (19.65 MB)
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1 Introduction.mp4 (3.43 MB)
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2 Recurrent Neural Network and LSTM.mp4 (49.86 MB)
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3 Data Preparation.mp4 (46.55 MB)
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4 LSTM with Tensorflow.mp4 (53.45 MB)
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5 LSTM Model Diagnosis.mp4 (44.54 MB)
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6 LSTM Model Diagnosis Cont.mp4 (42.29 MB)
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