MachineLearning_Exercises_Python_scikit-learn

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MachineLearning_Exercises_Python_scikit-learn

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Python＆機械学習ライブラリ scikit-learn の使い方の練習コード集。機械学習の理論解説付き

MachineLearning_Exercises_Python_scikit-learn 최신버젼 다운로드

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# MachineLearning_Exercises_Python_scikit-learn
Python＆機械学習ライブラリ scikit-learn の使い方の練習コード集。機械学習の理論解説付き。</br>

分かりやすいように、各フォルダ毎で完結したコード一式になっています。</br>
又、各フォルダにある README.md ファイルに、コード実行結果の解説と合わせて関連する機械学習の背景理論の解説も記載してます。

### 機械学習ライブラリ : scikit-learn

> scikit-learn ライブラリ チートシート：
>> http://scikit-learn.org/stable/tutorial/machine_learning_map/

### 検証用データセット
> https://github.com/Yagami360/MachineLearning_Exercises_Python_scikit-learn/blob/master/dataset.md

## 項目（フォルダ別）

1. [./Perceptron](https://github.com/Yagami360/MachineLearning_Exercises_Python_scikit-learn/tree/master/Perceptron)
1. [./AdaLineGD](https://github.com/Yagami360/MachineLearning_Exercises_Python_scikit-learn/tree/master/AdaLineGD) 
1. [./AdaLineSGD](https://github.com/Yagami360/MachineLearning_Exercises_Python_scikit-learn/tree/master/AdaLineSGD)
1. [./Perceptron_scikit-learn](https://github.com/Yagami360/MachineLearning_Exercises_Python_scikit-learn/tree/master/Perceptron_scikit-learn)
1. [./LogisticRegression_scikit-learn](https://github.com/Yagami360/MachineLearning_Exercises_Python_scikit-learn/tree/master/LogisticRegression_scikit-learn)
1. [./SVM_scikit-learn](https://github.com/Yagami360/MachineLearning_Exercises_Python_scikit-learn/tree/master/SVM_scikit-learn)
1. [./kNN_scikit-learn](https://github.com/Yagami360/MachineLearning_Exercises_Python_scikit-learn/tree/master/kNN_scikit-learn)
1. [./DecisionTree_scikit-learn](https://github.com/Yagami360/MachineLearning_Exercises_Python_scikit-learn/tree/master/DecisionTree_scikit-learn)
1. [./RandomForests_scikit-learn](https://github.com/Yagami360/MachineLearning_Samples_Python/tree/master/RandomForests_scikit-learn)
1. [./DataPreProcess_scikit-learn](https://github.com/Yagami360/MachineLearning_Samples_Python/tree/master/DataPreProcess_scikit-learn)
1. [./PCA_scikit-learn](https://github.com/Yagami360/MachineLearning_Samples_Python/tree/master/PCA_scikit-learn)
1. [./kernelPCA_scikit-learn](https://github.com/Yagami360/MachineLearning_Samples_Python/tree/master/kernelPCA_scikit-learn)
1. [./MachineLearningPipeline_scikit-learn](https://github.com/Yagami360/MachineLearning_Samples_Python/tree/master/MachineLearningPipeline_scikit-learn)
1. [./EnsembleLearning_scikit-learn](https://github.com/Yagami360/MachineLearning_Samples_Python/tree/master/EnsembleLearning_scikit-learn)
1. [./ClusteringAnalysis_scikit-learn](https://github.com/Yagami360/MachineLearning_Samples_Python/tree/master/ClusteringAnalysis_scikit-learn)

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