The study of 《Machine Learning In Action》
My Blog
Now, this repository include:
- kNN(k-Nearest Neighbor)
- DT(Decision Tree)
- NB(Naive Bayes)
- LR(Logistic Regression)
- SVM(Support Vector Machine)
- AdaBoost(Adaptive Boosting)
- Regression(Linear Regression)
- CART(Classification And Regression Tree)
- Kmeans(K-means)
- Apriori(Apriori)
- FPgrowth(FP-growth)
- PCA(Principal Component Analysis)
- SVD(Singular Value Decomposition)
- CF(Collaborative Filtering)
- MR(MapReduce)
- Pegasos(Primal Estimated Sub-Gradient Solver for SVM)