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依照sklearn标准,对一些机器学习算法自行封装.

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CuiZhenKai/Machine-Learning

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Machine-Learning

In order to deepen the understanding of Machine_learning algorithm,package a tool by myself.

Includes:(Base on Python)

1.KNN(K-Neighbors-Classifier)

2.train_test_split

3.Feature Scaler

4.Linear Regression

5.metrics(MSE,RMSE,MAE,r2_square,accuracy_score,F1_Score)

6.GD(SGD)

7.PCA

8.curve(Learning_curve,Decision_boundary_curve)

9.Logistic Regression

10.Confusion_matrix(&precision&recall)

11.SVM

to read the personal understanding of most of algorithm,to visit https://blog.csdn.net/qq_41979922

Thanks for your reading and please give your advice if you think exist something wrong. Please send your message to the "CuiZhenKai@163.com"

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依照sklearn标准,对一些机器学习算法自行封装.

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