Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
BostonHousing.csv		BostonHousing.csv
BostonHousing_withcomments.csv		BostonHousing_withcomments.csv
LICENSE		LICENSE
Multiclass ROC.png		Multiclass ROC.png
README.md		README.md
Source Code.7z		Source Code.7z
algorithm_compare_all_classification_models.py		algorithm_compare_all_classification_models.py
algorithm_evaluation_k_fold_cross_validation.py		algorithm_evaluation_k_fold_cross_validation.py
algorithm_evaluation_leave_one_out_cross_validation.py		algorithm_evaluation_leave_one_out_cross_validation.py
algorithm_evaluation_metric_auc.py		algorithm_evaluation_metric_auc.py
algorithm_evaluation_metric_classification_accuracy.py		algorithm_evaluation_metric_classification_accuracy.py
algorithm_evaluation_metric_classification_report.py		algorithm_evaluation_metric_classification_report.py
algorithm_evaluation_metric_confusion.py		algorithm_evaluation_metric_confusion.py
algorithm_evaluation_metric_log_loss.py		algorithm_evaluation_metric_log_loss.py
algorithm_evaluation_metric_regression_mae.py		algorithm_evaluation_metric_regression_mae.py
algorithm_evaluation_metric_regression_mse.py		algorithm_evaluation_metric_regression_mse.py
algorithm_evaluation_metric_regression_r2.py		algorithm_evaluation_metric_regression_r2.py
algorithm_evaluation_repeated_random_test_train.py		algorithm_evaluation_repeated_random_test_train.py
algorithm_evaluation_split_train_test.py		algorithm_evaluation_split_train_test.py
algorithm_spotcheck_cart.py		algorithm_spotcheck_cart.py
algorithm_spotcheck_knn.py		algorithm_spotcheck_knn.py
algorithm_spotcheck_linear_discriminant_analysis.py		algorithm_spotcheck_linear_discriminant_analysis.py
algorithm_spotcheck_logistic_regresssion.py		algorithm_spotcheck_logistic_regresssion.py
algorithm_spotcheck_naive_bayes.py		algorithm_spotcheck_naive_bayes.py
algorithm_spotcheck_svm.py		algorithm_spotcheck_svm.py
boston_final_model.py		boston_final_model.py
boston_predict.py		boston_predict.py
data_prepare_binarize.py		data_prepare_binarize.py
data_prepare_normalize.py		data_prepare_normalize.py
data_prepare_rescale.py		data_prepare_rescale.py
data_prepare_strandardize.py		data_prepare_strandardize.py
data_summary_box.py		data_summary_box.py
data_summary_correlation.py		data_summary_correlation.py
data_summary_correlation_plot.py		data_summary_correlation_plot.py
data_summary_datatypes.py		data_summary_datatypes.py
data_summary_density.py		data_summary_density.py
data_summary_description.py		data_summary_description.py
data_summary_dimensions.py		data_summary_dimensions.py
data_summary_distribution.py		data_summary_distribution.py
data_summary_histogram.py		data_summary_histogram.py
data_summary_peek.py		data_summary_peek.py
data_summary_scatter_plot.py		data_summary_scatter_plot.py
data_summary_skew.py		data_summary_skew.py
ensemble_bagging.py		ensemble_bagging.py
ensemble_boosting.py		ensemble_boosting.py
ensemble_voting.py		ensemble_voting.py
feature_selection_important.py		feature_selection_important.py
feature_selection_pca.py		feature_selection_pca.py
feature_selection_recursive_feature_elimination.py		feature_selection_recursive_feature_elimination.py
feature_selection_univariate.py		feature_selection_univariate.py
final_boston.sav		final_boston.sav
final_pima_indian.sav		final_pima_indian.sav
iris.data.csv		iris.data.csv
iris.data.withcomments.csv		iris.data.withcomments.csv
iris.sav		iris.sav
iris_encoded.csv		iris_encoded.csv
iris_final_model.py		iris_final_model.py
iris_final_model_auc.py		iris_final_model_auc.py
iris_load_predict.py		iris_load_predict.py
joblib_model.sav		joblib_model.sav
load_csv_numpy.py		load_csv_numpy.py
load_csv_pandas.py		load_csv_pandas.py
load_csv_python.py		load_csv_python.py
load_save_joblib.py		load_save_joblib.py
load_save_pickle.py		load_save_pickle.py
param_tuning_grid_search.py		param_tuning_grid_search.py
param_tuning_random_search.py		param_tuning_random_search.py
pickle_model.sav		pickle_model.sav
pima-indians-diabetes-withcomments.csv		pima-indians-diabetes-withcomments.csv
pima-indians-diabetes.csv		pima-indians-diabetes.csv
pima_final_model.py		pima_final_model.py
pima_load_predict.py		pima_load_predict.py
pipeline_data_prepration_modelling.py		pipeline_data_prepration_modelling.py
pipeline_feature_selection_modelling.py		pipeline_feature_selection_modelling.py
quick_tutorials_matplotlib.py		quick_tutorials_matplotlib.py
quick_tutorials_numpy.py		quick_tutorials_numpy.py
quick_tutorials_pandas.py		quick_tutorials_pandas.py
quick_tutorials_python.py		quick_tutorials_python.py
spot_check_regression_algorithm_cart.py		spot_check_regression_algorithm_cart.py
spot_check_regression_algorithm_elasticnet.py		spot_check_regression_algorithm_elasticnet.py
spot_check_regression_algorithm_knn.py		spot_check_regression_algorithm_knn.py
spot_check_regression_algorithm_lasso.py		spot_check_regression_algorithm_lasso.py
spot_check_regression_algorithm_linear_regression.py		spot_check_regression_algorithm_linear_regression.py
spot_check_regression_algorithm_ridge.py		spot_check_regression_algorithm_ridge.py
spot_check_regression_algorithm_svm.py		spot_check_regression_algorithm_svm.py

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Machine-Learning-and-Data-Science-with-Python-A-Complete-Beginners-Guide

Code Repository for Machine Learning and Data Science with Python: A Complete Beginners Guide, published by Packt

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