GitHub - nslatysheva/practical_machine_learning_course: Course notes and code for Cambridge Data Science study group #1

nslatysheva / practical_machine_learning_course Public

Course notes and code for Cambridge Data Science study group #1 - Practical machine learning

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Name		Name	Last commit message	Last commit date
Latest commit History 21 Commits
L1.1_spam_email_classification_demo.R		L1.1_spam_email_classification_demo.R
L1.4_in_out_of_sample_error_rates.R		L1.4_in_out_of_sample_error_rates.R
L2.1_caret_package.R		L2.1_caret_package.R
L2.2_data_slicing.R		L2.2_data_slicing.R
L2.3_training_options.R		L2.3_training_options.R
L2.4_plotting_predictors.R		L2.4_plotting_predictors.R
L2.5_preprocessing.R		L2.5_preprocessing.R
L2.6_covariate_creation.R		L2.6_covariate_creation.R
L2.7_preprocessing_with_principal_components_analysis.R		L2.7_preprocessing_with_principal_components_analysis.R
L2.8_predicting_with_regression.R		L2.8_predicting_with_regression.R
L2.9_predicting_with_multivariate_regression.R		L2.9_predicting_with_multivariate_regression.R
L3.1_predicting_with_trees.R		L3.1_predicting_with_trees.R
L3.2_bagging.R		L3.2_bagging.R
L3.3_random_forests.R		L3.3_random_forests.R
L3.4_boosting.R		L3.4_boosting.R
L3.5_model_based_prediction.R		L3.5_model_based_prediction.R
L4.1_regularised_regression.R		L4.1_regularised_regression.R
L4.2_combining_predictors.R		L4.2_combining_predictors.R
L4.3_forecasting.R		L4.3_forecasting.R
L4.4_unsupervised_prediction.R		L4.4_unsupervised_prediction.R
Practical_ML_Week_1		Practical_ML_Week_1
Practical_ML_Week_2.txt		Practical_ML_Week_2.txt
Practical_ML_Week_3		Practical_ML_Week_3
Practical_ML_Week_4.txt		Practical_ML_Week_4.txt