GitHub - k-karna/ml-scikit: exploring machine learning feature engineering through Scikit-Learn Cookbook 3rd Ed. and scikitlearn documentation

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exploring machine learning feature engineering through Scikit-Learn Cookbook 3rd Ed. and scikitlearn documentation

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
01_linear_modelling.ipynb		01_linear_modelling.ipynb
02_Imputing_missing_value_strategies.ipynb		02_Imputing_missing_value_strategies.ipynb
03_Gaussian_processes_for_regression.ipynb		03_Gaussian_processes_for_regression.ipynb
04_reducing_dimensionality_PCA.ipynb		04_reducing_dimensionality_PCA.ipynb
05_factor_analysis_decomposition.ipynb		05_factor_analysis_decomposition.ipynb
06_distance_metric_modelling.ipynb		06_distance_metric_modelling.ipynb
06_t-SNE.ipynb		06_t-SNE.ipynb
07_accessing_cluster_correctness.ipynb		07_accessing_cluster_correctness.ipynb
08_mini_batch_kmeans.ipynb		08_mini_batch_kmeans.ipynb
09_probabilistic_Gaussian_Clustering.ipynb		09_probabilistic_Gaussian_Clustering.ipynb
10_kmeans_outlier_knn_regression.ipynb		10_kmeans_outlier_knn_regression.ipynb
11_modelling_with-cross_validation.ipynb		11_modelling_with-cross_validation.ipynb
12_Grid_n_Randomised_Search.ipynb		12_Grid_n_Randomised_Search.ipynb
13_nested_vs_non_nested_CV.ipynb		13_nested_vs_non_nested_CV.ipynb
14_ROC_cross_validation.ipynb		14_ROC_cross_validation.ipynb
15_reducing_overfitting.ipynb		15_reducing_overfitting.ipynb
16_LDA_n_QDA.ipynb		16_LDA_n_QDA.ipynb
17_RBF-for_svm.ipynb		17_RBF-for_svm.ipynb
18_different_n_custom_kernel_SVM.ipynb		18_different_n_custom_kernel_SVM.ipynb
19_class_likelihhod_ratio.ipynb		19_class_likelihhod_ratio.ipynb
20_poisson_regression.ipynb		20_poisson_regression.ipynb
21_gradient_boosting.ipynb		21_gradient_boosting.ipynb
22_early_stopping_gradient_boosting.ipynb		22_early_stopping_gradient_boosting.ipynb
23_time_series_feature_engg.ipynb		23_time_series_feature_engg.ipynb
24_effects_of_OVB.ipynb		24_effects_of_OVB.ipynb
25_local_outlier_factor.ipynb		25_local_outlier_factor.ipynb
26_feat_agg_vs_univariate_sel.ipynb		26_feat_agg_vs_univariate_sel.ipynb
27_univariate_feature_selection.ipynb		27_univariate_feature_selection.ipynb
28_svm_anova.ipynb		28_svm_anova.ipynb
29_bayesian_ridge.ipynb		29_bayesian_ridge.ipynb
30_bayesian_regressors_comparison.ipynb		30_bayesian_regressors_comparison.ipynb
morgan.png		morgan.png