Reilly Advanced Machine Learning with scikit learn | 8B5BA4584FA0B9BD459AF22AD82B5C78FA440807

Reilly Advanced Machine Learning with scikit learn

Name	O'Reilly - Advanced Machine Learning with scikit learn	DOWNLOAD Copy Link
Total Size	803.0 MB
Total Files	47
Last Seen	2024-11-11 03:04
Hash	8B5BA4584FA0B9BD459AF22AD82B5C78FA440807

/01. Introduction/
01_01-What To Expect And About The Author.mp4	13.1 MB
01_02-Setup.mp4	6.1 MB
01_03-The Classifier Interface.mp4	28.5 MB
01_04-The Regressor Interface.mp4	11.3 MB
01_05-The Transformer Interface.mp4	8.3 MB
01_06-The Cluster Interface.mp4	23.4 MB
01_07-The Manifold Interface.mp4	11.5 MB
01_08-scikitLearn Interface Summary.mp4	11.9 MB
01_09-CrossValidation With Cross_Val_Score.mp4	21.3 MB
01_10-Parameter Searches With GridSearchCV.mp4	20.3 MB
01_11-How To Access Your Working Files.mp4	27.7 MB
/02. Model Complexity, Overfitting And Underfitting/
02_01-What Is Model Complexity And Overfitting.mp4	7.6 MB
02_02-Linear Models InDepth.mp4	35.2 MB
02_03-Kernel SVMs InDepth.mp4	22.9 MB
02_04-Random Forests InDepth.mp4	15.9 MB
02_05-Learning Curves For Analyzing Model Complexity.mp4	13.3 MB
02_06-Validation Curves For Analyzing Model Parameters.mp4	8.0 MB
02_07-Efficient Parameter Search With EstimatorCV Objects.mp4	19.0 MB
/03. Pipelines/
03_01-Motivation Of Using Pipelines.mp4	10.2 MB
03_02-Defining A Pipeline And Basic Usage.mp4	20.0 MB
03_03-CrossValidation With Pipelines.mp4	8.1 MB
03_04-Parameter Selection With Pipelines.mp4	17.6 MB
/04. Advanced Metrics And Imbalanced Classes/
04_01-Be Mindful Of Default Metrics.mp4	21.6 MB
04_02-More Evaluation Methods For Classification.mp4	15.3 MB
04_03-AUC.mp4	20.6 MB
04_04-Defining Custom Metrics.mp4	21.4 MB
/05. Model Selection For Unsupervised Learning/
05_01-Guidelines For Unsupervised Model Selection.mp4	22.7 MB
05_02-Model Selection For Density Models.mp4	19.0 MB
05_03-Model Selection For Clustering.mp4	14.7 MB
/06. Dealing With Categorical Variables, Dictionaries, And Incomplete Data/
06_01-Why Real Data Is Messy.mp4	20.0 MB
06_02-OneHot Encoding For Categorical Data.mp4	19.0 MB
06_03-Working With Dictionaries.mp4	6.7 MB
06_04-Handling Incomplete Data.mp4	15.4 MB
/07. Handling Text Data/
07_01-Motivation.mp4	8.4 MB
07_02-BagOfWords Representations.mp4	20.0 MB
07_03-Text Classification For Sentiment Analysis Part 1.mp4	26.6 MB
07_04-Text Classification For Sentiment Analysis Part 2.mp4	13.6 MB
07_05-The Hashing Trick.mp4	9.6 MB
07_06-Other Representations Distributed Word Representations.mp4	5.3 MB
/08. Out Of Core Learning/
08_01-The TradeOffs Of Out Of Core Learning.mp4	11.3 MB
08_02-The scikitLearn Interface For Out Of Core Learning.mp4	15.4 MB
08_03-Kernel Approximations For LargeScale NonLinear Classification.mp4	16.8 MB
08_04-Subsample And Transform Supervised Transformations For Out Of Core Learning.mp4	19.2 MB
08_05-Application OutOfCore Text Classification.mp4	19.3 MB
/09. Conclusion/
09_01-Summary.mp4	10.6 MB
09_02-Where To Go From Here.mp4	9.0 MB
/Working Files/
Advanced_Machine_Learning_with_scikit_learn_Working_Files.zip	60.3 MB
Total files 47