MyCodeForML

Machine learning algorithm by python this is a summary of my machine learning coding practice, including most of the main stream machine learning algorithms.

Reference:

• Machine Learning in Action, Peter Harrington
• Python机器学习算法，赵智勇
• Deep learning from scratch, 斋藤康毅

Classify

1. KNN: k-nearest neighbors
2. LoR: logistic regression

• BGA/BGD
• SGA/SGD

3. SR: softmax regression
4. DT: decision tree
5. NB: naive bayes

• Word2Vec

6. SVM: support vector machine

• linearKernel
• polyKernel
• rbfKernel
• SMO

Regression

1. LiR: linear regression
2. ridge regression - tbf
3. lasso regression - tbf
4. CART tree regression - tbf

Cluster

1. K-mean

Deep Learning

1. perception - tbf
2. NN - tbf
3. CNN - tbf