Machine Learning by Python

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INTRODUCTION

The project is developed for implementing various machine learning algorithms in Python from scratch. These algorithms encompass THREE parts:

1. SUPERVISED LEARNING

• KNN
• Decision Trees
• Random Forest
• Bayes
• Logistic Regression
• SVM
• Adaboost

2. UNSUPERVISED LEARNING

• K-means
• Apriori
• FP-growth

3. OTHER TOOLS

• PCA
• SVD
• MapReduce

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REQUIREMENT

Python3, Numpy, Matplotlib

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REFERENCE

• Machine Learning in Action by Peter Harrington
• 机器学习 by Zhihua Zhou
• 裂变 by Tianyi Wang