Download Free Download : Udemy - Machine Learning In Algorithmic Trading
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:5.16 GB
Files Included :
1 Introduction.mp4 (54.27 MB)
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2 Course Content.mp4 (44.97 MB)
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1 Fitting Classifiers.mp4 (214.04 MB)
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2 Fitting Classifiers Without Data Leakage.mp4 (202.59 MB)
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3 XGBoost.mp4 (33.89 MB)
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4 Neural Networks Classifier.mp4 (70.36 MB)
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5 XGBoost And Neural Networks Python Example.mp4 (115.15 MB)
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1 Backtesting Machine Learning Indicators In Python.mp4 (99.14 MB)
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2 Quick Recap And Final Thoughts.mp4 (43.31 MB)
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1 What Is Machine Learning.mp4 (34.68 MB)
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2 Understanding The Basics.mp4 (47.44 MB)
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3 Types Of Machine Learning Models.mp4 (71.97 MB)
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4 Building Blocks And The Machine Learning Process.mp4 (86.54 MB)
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5 About Applications Using Machine Learning.mp4 (80.13 MB)
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1 Supervised Learning.mp4 (12.67 MB)
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2 Supervised Learning Key Concepts.mp4 (22.65 MB)
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3 Supervised Learning Regression By Example.mp4 (76.48 MB)
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4 Supervised Learning Classification.mp4 (61.05 MB)
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5 Supervised Learning Training Process.mp4 (66.07 MB)
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1 Unsupervised Learning.mp4 (31.96 MB)
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2 Unsupervised Learning Key Concepts.mp4 (59.5 MB)
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3 Unsupervised Learning Process Pipeline.mp4 (57.78 MB)
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4 Unsupervised Learning Challenges And Best Practices Discussion.mp4 (74.18 MB)
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5 Unsupervised Learning Importance And Closing Notes.mp4 (21.72 MB)
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1 Data Splitting For Machine Learning.mp4 (51.78 MB)
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2 Data Splitting Techniques.mp4 (167.75 MB)
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3 Overfitting Underfitting And Generalization.mp4 (135.74 MB)
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4 Splitting Python Examples.mp4 (84.43 MB)
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1 Classifiers Introduction.mp4 (33.85 MB)
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10 Logistic Regression.mp4 (132 MB)
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11 Logistic Regression Explained Example.mp4 (32.39 MB)
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12 Logistic Regression Python Example.mp4 (18.02 MB)
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13 Naive Bayes Classifier.mp4 (105.15 MB)
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14 Naive Bayes Gaussian Classifier.mp4 (64.39 MB)
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15 Naive Bayes Python Example.mp4 (27.18 MB)
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16 Support Vector Machines.mp4 (68.5 MB)
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17 Support Vector Machines Kernels.mp4 (95.41 MB)
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18 Support Vector Machines Python Example.mp4 (38.88 MB)
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2 K Nearest Neighbors.mp4 (96.42 MB)
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3 K Nearest Neighbors Python Example.mp4 (64.72 MB)
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4 K means.mp4 (78.64 MB)
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5 K means Python Example.mp4 (39.22 MB)
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6 Decision Trees.mp4 (113.72 MB)
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7 Decision Trees Python Example.mp4 (34.48 MB)
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8 Random Forests.mp4 (184.39 MB)
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9 Random Forests Python Example.mp4 (23.83 MB)
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1 Accuracy, Confusion Matrix And Classification Report.mp4 (128.27 MB)
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2 ROC-AUC And PR-AUC.mp4 (111.8 MB)
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3 Confusion Matrix Python Example.mp4 (21.6 MB)
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4 ROC-AUC Python Example.mp4 (39.17 MB)
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5 PR-AUC Python Example.mp4 (14.32 MB)
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1 About Data Sources And Labeling.mp4 (52.23 MB)
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10 Triple Barrier Method.mp4 (27.85 MB)
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11 Triple Barrier Python Example.mp4 (101.34 MB)
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12 Strategy Specific Dynamic Labeling.mp4 (38.05 MB)
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13 Strategy Specific Dynamic Labeling Python Example.mp4 (78.46 MB)
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14 Strategy Thresholds Optimization.mp4 (19.32 MB)
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15 Strategy Example For Optimization.mp4 (31.22 MB)
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16 Thresholds Optimization Python Example.mp4 (102.12 MB)
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2 Downloading Historical Data.mp4 (87.97 MB)
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3 Visualizing And Inspecting Indicators.mp4 (111.97 MB)
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4 Visualization Examples.mp4 (105.75 MB)
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5 Data Labeling.mp4 (33.02 MB)
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6 Fixed Time Horizon Method.mp4 (76.12 MB)
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7 Fixed Time Horizon Python Example.mp4 (34.9 MB)
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8 Improved Time Horizon Method.mp4 (54.58 MB)
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9 Improved Time Horizon Python Example.mp4 (50.96 MB)
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1 Processing Technical Indicators.mp4 (104.95 MB)
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2 Processing Technical Indicators Python Examples.mp4 (107.82 MB)
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3 Features Enhancement And Dimensionality Reduction.mp4 (89.35 MB)
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4 Features Enhancement And Dimensionality Reduction Python Examples.mp4 (92.97 MB)
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5 Standardization Normalization And One Hot Encoding.mp4 (145.08 MB)
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6 Standardization Normalization And One Hot Encoding Python Examples.mp4 (46.53 MB)
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2 Course Content.mp4 (44.97 MB)
MP4
1 Fitting Classifiers.mp4 (214.04 MB)
MP4
2 Fitting Classifiers Without Data Leakage.mp4 (202.59 MB)
MP4
3 XGBoost.mp4 (33.89 MB)
MP4
4 Neural Networks Classifier.mp4 (70.36 MB)
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5 XGBoost And Neural Networks Python Example.mp4 (115.15 MB)
MP4
1 Backtesting Machine Learning Indicators In Python.mp4 (99.14 MB)
MP4
2 Quick Recap And Final Thoughts.mp4 (43.31 MB)
MP4
1 What Is Machine Learning.mp4 (34.68 MB)
MP4
2 Understanding The Basics.mp4 (47.44 MB)
MP4
3 Types Of Machine Learning Models.mp4 (71.97 MB)
MP4
4 Building Blocks And The Machine Learning Process.mp4 (86.54 MB)
MP4
5 About Applications Using Machine Learning.mp4 (80.13 MB)
MP4
1 Supervised Learning.mp4 (12.67 MB)
MP4
2 Supervised Learning Key Concepts.mp4 (22.65 MB)
MP4
3 Supervised Learning Regression By Example.mp4 (76.48 MB)
MP4
4 Supervised Learning Classification.mp4 (61.05 MB)
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5 Supervised Learning Training Process.mp4 (66.07 MB)
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1 Unsupervised Learning.mp4 (31.96 MB)
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2 Unsupervised Learning Key Concepts.mp4 (59.5 MB)
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3 Unsupervised Learning Process Pipeline.mp4 (57.78 MB)
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4 Unsupervised Learning Challenges And Best Practices Discussion.mp4 (74.18 MB)
MP4
5 Unsupervised Learning Importance And Closing Notes.mp4 (21.72 MB)
MP4
1 Data Splitting For Machine Learning.mp4 (51.78 MB)
MP4
2 Data Splitting Techniques.mp4 (167.75 MB)
MP4
3 Overfitting Underfitting And Generalization.mp4 (135.74 MB)
MP4
4 Splitting Python Examples.mp4 (84.43 MB)
MP4
1 Classifiers Introduction.mp4 (33.85 MB)
MP4
10 Logistic Regression.mp4 (132 MB)
MP4
11 Logistic Regression Explained Example.mp4 (32.39 MB)
MP4
12 Logistic Regression Python Example.mp4 (18.02 MB)
MP4
13 Naive Bayes Classifier.mp4 (105.15 MB)
MP4
14 Naive Bayes Gaussian Classifier.mp4 (64.39 MB)
MP4
15 Naive Bayes Python Example.mp4 (27.18 MB)
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16 Support Vector Machines.mp4 (68.5 MB)
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17 Support Vector Machines Kernels.mp4 (95.41 MB)
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18 Support Vector Machines Python Example.mp4 (38.88 MB)
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2 K Nearest Neighbors.mp4 (96.42 MB)
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3 K Nearest Neighbors Python Example.mp4 (64.72 MB)
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4 K means.mp4 (78.64 MB)
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5 K means Python Example.mp4 (39.22 MB)
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6 Decision Trees.mp4 (113.72 MB)
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7 Decision Trees Python Example.mp4 (34.48 MB)
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8 Random Forests.mp4 (184.39 MB)
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9 Random Forests Python Example.mp4 (23.83 MB)
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1 Accuracy, Confusion Matrix And Classification Report.mp4 (128.27 MB)
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2 ROC-AUC And PR-AUC.mp4 (111.8 MB)
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3 Confusion Matrix Python Example.mp4 (21.6 MB)
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4 ROC-AUC Python Example.mp4 (39.17 MB)
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5 PR-AUC Python Example.mp4 (14.32 MB)
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1 About Data Sources And Labeling.mp4 (52.23 MB)
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10 Triple Barrier Method.mp4 (27.85 MB)
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11 Triple Barrier Python Example.mp4 (101.34 MB)
MP4
12 Strategy Specific Dynamic Labeling.mp4 (38.05 MB)
MP4
13 Strategy Specific Dynamic Labeling Python Example.mp4 (78.46 MB)
MP4
14 Strategy Thresholds Optimization.mp4 (19.32 MB)
MP4
15 Strategy Example For Optimization.mp4 (31.22 MB)
MP4
16 Thresholds Optimization Python Example.mp4 (102.12 MB)
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2 Downloading Historical Data.mp4 (87.97 MB)
MP4
3 Visualizing And Inspecting Indicators.mp4 (111.97 MB)
MP4
4 Visualization Examples.mp4 (105.75 MB)
MP4
5 Data Labeling.mp4 (33.02 MB)
MP4
6 Fixed Time Horizon Method.mp4 (76.12 MB)
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7 Fixed Time Horizon Python Example.mp4 (34.9 MB)
MP4
8 Improved Time Horizon Method.mp4 (54.58 MB)
MP4
9 Improved Time Horizon Python Example.mp4 (50.96 MB)
MP4
1 Processing Technical Indicators.mp4 (104.95 MB)
MP4
2 Processing Technical Indicators Python Examples.mp4 (107.82 MB)
MP4
3 Features Enhancement And Dimensionality Reduction.mp4 (89.35 MB)
MP4
4 Features Enhancement And Dimensionality Reduction Python Examples.mp4 (92.97 MB)
MP4
5 Standardization Normalization And One Hot Encoding.mp4 (145.08 MB)
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6 Standardization Normalization And One Hot Encoding Python Examples.mp4 (46.53 MB)
MP4
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um Code Inhalt zu sehen!