#Machine Learning With Python

Machine learning algorithms implemented by Python

##Prerequisites

• python 2.7
• numpy
• scipy
• or just Anaconda (strongly recommend)

##this repository contains following algorithms so far:

Supervised Learning algorithms:

• Linear Regression - LinearRegression.py
• KNN - KNN.py
• Logistic Regression - LogisticRegression.py
• Naive Bayes - NaiveBayes.py
• Centroid Based Classifier - CentroidBasedClassifier.py
• DragPushing method - DragPushingCentroid.py
• ID3 - ID3.py
• CART for classification - CARTClassificationTree.py
• CART for regression - CARTRegressionTree.py
• Random Forest - RandomForest.py
• AdaBoost - AdaBoost.py
• Gradient Boosting Tree(GBDT) - GBDT.py

Unsupervised Learning algorithms:

• K-means - KMeans.py

Feature Selection/ Extraction:

• PCA - PCA.py

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If you have any questions, please feel free to contact with me. (guanghuitu@gmail.com or guanghuitu@foxmail.com)

Enjoy it!