Where I implement the ML from scratch using python.

I expect to implement the simpler and reduced version of the algorithms in a agile update iterations.

Start from 01/17/19, mainly for preparation for the interview at XXXX at 1/30/2019

• Algorithm list
  • Classify
    • Perceptron
    • K Nearest Neightbor (KNN)
    • Naive Bayes
    • Decision Tree
    • Random Forest
    • SVM
    • AdaBoost
    • HMM
  • Cluster
    • KMeans
    • Affinity Propagation
  • Manifold Learning
    • PCA
    • Locally-linear-embedding (LLE)
  • NLP
    • LDA
  • Time Series Analysis
    • AR
• Usage
  • Installation
  • Examples for Statistical Learning Method(《统计学习方法》)
• Reference

• Perceptron

• RF done
• adaboost
• PCA
• LR
• some utils function like split, cv, code to be cleaned