Machine-Learning-A-Z-Udemy

Name	Name	Last commit message	Last commit date
Latest commit tanvirrazin Implemented XGBoost in Python and R Apr 14, 2017 314d1ac · Apr 14, 2017 History 71 Commits
data_files	data_files	Implemented PCA in Python	Apr 14, 2017
part_1-data-preprocessing	part_1-data-preprocessing	Re-organized data-files	Mar 26, 2017
part_10-model-selection-and-boosting	part_10-model-selection-and-boosting	Implemented XGBoost in Python and R	Apr 14, 2017
part_2-regression	part_2-regression	Re-organized data-files	Mar 26, 2017
part_3-classification	part_3-classification	Re-organized data-files	Mar 26, 2017
part_4-clustering	part_4-clustering	Implemented hierarchical clustering in R	Mar 27, 2017
part_5-association-rule	part_5-association-rule	Implemented eclat in R	Mar 30, 2017
part_6-re-inforcement-learning	part_6-re-inforcement-learning	Implemented thompson sampling in R	Apr 2, 2017
part_7-natural-language-processing	part_7-natural-language-processing	Implemented random-forest-classifier to train with sparse matrix and …	Apr 2, 2017
part_8-deep-learning	part_8-deep-learning	Implemented convolutional neural network with Python	Apr 14, 2017
part_9-dimentionality-reduction	part_9-dimentionality-reduction	Implemented kernel PCA in R	Apr 14, 2017
README.md	README.md	First commit	Feb 3, 2017

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