1 Course Introduction ans Course Overview.mp4 (21.96 MB)
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2 Machine Learning Fundamentals Qick Recap I.mp4 (25.93 MB)
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3 Machine Learning Fundamentals Quick Recap II.mp4 (31.9 MB)
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1 Conclusions and Next Steps.mp4 (4.19 MB)
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1 Hyperparameter Optimization Fundamentals.mp4 (91.35 MB)
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11 Bayesian Optimization I Good Practices.mp4 (41.04 MB)
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12 Bayesian Optimization II Hands on Python for ML, SVM and XGB.mp4 (208.65 MB)
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13 Bayesian Optimization III Hands on Pyton for Neural Networks.mp4 (56.68 MB)
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14 Hyperparameter Optimization in Desktop with Visual Studio Code.mp4 (121.46 MB)
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3 Grid, Random and Manual Search.mp4 (64.38 MB)
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5 Principal Python Libraries.mp4 (19.97 MB)
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6 Introduction to Practice.mp4 (15.03 MB)
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7 Data management with Python Very Quick Recap.mp4 (144.67 MB)
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8 Practice I Grid, Random and Manual Search.mp4 (272.63 MB)
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9 Bayesian Optimization Theory.mp4 (58.44 MB)
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1 Feature Selection Fundamentals.mp4 (27.33 MB)
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10 Practical Feature Selection II Wrapping.mp4 (80.81 MB)
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11 Practical Feature Selection II Wrapping (Meta Selector).mp4 (33.83 MB)
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12 Practical Feature Selection III Embedded.mp4 (41.07 MB)
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13 Feature Selection in Visual Studio Code.mp4 (131.14 MB)
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2 Filtering Pearson correlation.mp4 (33.71 MB)
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3 Filtering Kendall rank.mp4 (23.54 MB)
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4 Filtering Chi - squared.mp4 (30.5 MB)
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5 Filtering Principal Component Analysis (PCA).mp4 (34.89 MB)
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6 Wrapping RFE, RFECV and Meta Selector.mp4 (29.93 MB)
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7 Embedded Random Forest.mp4 (13.41 MB)
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9 Practical Feature Selection I Filtering.mp4 (193.3 MB)
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1 Fundamentals.mp4 (15.31 MB)
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2 Classification Models Evaluation.mp4 (57.5 MB)
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3 Regression Models Evaluation.mp4 (26.5 MB)
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4 Clustering Methods Evaluation.mp4 (38.03 MB)
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1 Bayesian Optimization of a CNN for Image Classification.mp4 (247.29 MB)
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1 ML Optimization.mp4 (102.91 MB)
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2 Convolutional Neural Network Optimization.mp4 (98.27 MB)
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1 Optimization of non supervised algorithms.mp4 (48.26 MB)
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1 Books to Master Machine Learning.mp4 (31.86 MB)
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