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| Archived
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scikit-learn Recipes [Video]\2.Dimensionality Reduction\07.Principal Components Analysis.mp4
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scikit-learn Recipes [Video]\2.Dimensionality Reduction\09.Factor Analysis.mp4
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scikit-learn Recipes [Video]\2.Dimensionality Reduction\10.Kernel PCA.mp4
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scikit-learn Recipes [Video]\2.Dimensionality Reduction\08.t-SNE.mp4
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scikit-learn Recipes [Video]\5.Decision Trees and Ensembles\20.Decision Tree Model Evaluation and Fine Tuning.mp4
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16,069,880 |
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scikit-learn Recipes [Video]\5.Decision Trees and Ensembles\22.k-Nearest-Neighbor Model.mp4
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03F54E1A |
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scikit-learn Recipes [Video]\5.Decision Trees and Ensembles\19.Decision Trees.mp4
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14,769,017 |
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scikit-learn Recipes [Video]\5.Decision Trees and Ensembles\21.Building a Random Forest Regressor.mp4
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scikit-learn Recipes [Video]\5.Decision Trees and Ensembles\23.Gradient Boosting.mp4
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scikit-learn Recipes [Video]\4.Support Vector Machines\18.Multiclass Classification Using Consumer Complaints Data.mp4
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scikit-learn Recipes [Video]\4.Support Vector Machines\16.Linear SVM.mp4
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scikit-learn Recipes [Video]\4.Support Vector Machines\17.Optimizing Linear SVM.mp4
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scikit-learn Recipes [Video]\8.Neural Networks\37.Multilayer Perceptron with scikit-learn.mp4
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13,374,777 |
BC8695F8 |
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scikit-learn Recipes [Video]\8.Neural Networks\38.Stacking.mp4
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14,827,735 |
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scikit-learn Recipes [Video]\8.Neural Networks\35.Introduction to Neural Networks.mp4
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scikit-learn Recipes [Video]\8.Neural Networks\36.Building a Perceptron Classifier.mp4
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11,763,711 |
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scikit-learn Recipes [Video]\1.Data Pre-Processing with scikit-learn\04.Imputing Missing Values Using sklearn Impute.mp4
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scikit-learn Recipes [Video]\1.Data Pre-Processing with scikit-learn\06.Putting It All Together with sklearn Pipelines.mp4
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scikit-learn Recipes [Video]\1.Data Pre-Processing with scikit-learn\03.Building Binary Features by Creating Thresholds.mp4
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scikit-learn Recipes [Video]\1.Data Pre-Processing with scikit-learn\02.Loading Data.mp4
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scikit-learn Recipes [Video]\1.Data Pre-Processing with scikit-learn\01.The Course Overview.mp4
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scikit-learn Recipes [Video]\1.Data Pre-Processing with scikit-learn\05.Building Linear Model with Outliers.mp4
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scikit-learn Recipes [Video]\Exercise Files\code_9781838985219.zip |
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scikit-learn Recipes [Video]\6.Clustering with scikit-learn\24.Clustering Data with k-means.mp4
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scikit-learn Recipes [Video]\6.Clustering with scikit-learn\26.Fine-Tuning the k-means Model.mp4
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scikit-learn Recipes [Video]\6.Clustering with scikit-learn\27.Detecting Outlier Using k-means Clustering.mp4
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scikit-learn Recipes [Video]\6.Clustering with scikit-learn\28.Gaussian Mixture Models for Variable Clustering.mp4
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scikit-learn Recipes [Video]\6.Clustering with scikit-learn\25.Evaluating the Performance of the Model.mp4
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scikit-learn Recipes [Video]\3.Linear Models\14.Logistic Regression.mp4
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scikit-learn Recipes [Video]\3.Linear Models\15.Evaluating the Logistic Regression Model.mp4
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scikit-learn Recipes [Video]\3.Linear Models\11.Linear Regression without scikit-learn.mp4
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scikit-learn Recipes [Video]\3.Linear Models\13.Evaluating the Linear Regression Model.mp4
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scikit-learn Recipes [Video]\3.Linear Models\12.Linear Regression with scikit-learn.mp4
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scikit-learn Recipes [Video]\7.Cross-Validation\33.L1 and L2 Norms.mp4
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scikit-learn Recipes [Video]\7.Cross-Validation\31.k-fold Cross-Validation.mp4
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scikit-learn Recipes [Video]\7.Cross-Validation\32.ShuffleSplit and Time Series Cross-Validation.mp4
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scikit-learn Recipes [Video]\7.Cross-Validation\29.Introduction to Feature Selection.mp4
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scikit-learn Recipes [Video]\7.Cross-Validation\34.Grid Search.mp4
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scikit-learn Recipes [Video]\7.Cross-Validation\30.Hands-On Feature Selection.mp4
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scikit-learn Recipes [Video]\2.Dimensionality Reduction |
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scikit-learn Recipes [Video]\4.Support Vector Machines |
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