├── .gitignore ├── Books ├── 百面机器学习训练营作业（第三期）.docx └── 百面机器学习训练营作业（第三期）.pdf ├── PhaseThree ├── LeetCode │ └── README.md ├── Notes │ └── SVM │ │ ├── SMO算法视频文稿.pdf │ │ ├── SVM视频文稿.pdf │ │ └── 补充文档-cs229-smo.pdf ├── Week1 │ ├── DecisionTree │ │ ├── 01-What-is-Decision-Tree.ipynb │ │ ├── 02-Entropy.ipynb │ │ ├── 03-Entropy-Split-Simulation.ipynb │ │ ├── 04-Gini-Index.ipynb │ │ ├── 05-CART-and-Decision-Tree-Hyperparameters.ipynb │ │ └── 决策树实战.pdf │ ├── LeetCode │ │ └── LeetCode_HomeWork-1.ipynb │ ├── LiveQandA │ │ └── 交易数据使用逻辑回归实战.ipynb │ └── LogisticRegression │ │ ├── LogisticRegression.py │ │ ├── LogisticRegression实战.pdf │ │ └── iris_lr_demo.py ├── Week2 │ ├── LeetCode │ │ └── LeetCode_HomeWork-2.ipynb │ ├── LiveQandA │ │ ├── svm.py │ │ ├── testSet.txt │ │ └── utils.py │ ├── PCA │ │ ├── 01-Implement-PCA-in-BGA.ipynb │ │ ├── 02-Getting-First-n-Components.ipynb │ │ ├── 03-Data-Projection.ipynb │ │ ├── 04-PCA-in-scikit-learn.ipynb │ │ ├── PCA.py │ │ └── PCA实战.pdf │ └── SVM │ │ ├── 01-SVM-in-scikit-learn.ipynb │ │ ├── 02-RBF-Kernel-in-scikit-learn.ipynb │ │ ├── 03-SVM-Regressor.ipynb │ │ └── SVM实战.pdf ├── Week3 │ ├── HMM │ │ ├── HHM实战：使用HMM进行中文分词.pdf │ │ ├── data │ │ │ └── 199801人民日报.zip │ │ ├── hmm_segment.py │ │ └── model │ │ │ └── hmm.model │ ├── Kmeans │ │ ├── data.txt │ │ ├── kmeans.ipynb │ │ └── kmeans实战.pdf │ ├── LeetCode │ │ └── LeetCode_HomeWork-3.ipynb │ └── LiveQandA │ │ └── hmm_segment.py ├── Week4 │ ├── LeetCode │ │ └── LeetCode_HomeWork-4.ipynb │ ├── LiveQandA │ │ ├── 01-蒙特卡洛方法求解定积分以及重要性采样.ipynb │ │ ├── 02-逆变换采样和接受拒绝采样的实现.ipynb │ │ ├── 03-马尔科夫链的平稳分布.ipynb │ │ ├── 04-Metropolis-Hastings实现Beta分布的采样.ipynb │ │ └── 1.png │ └── Optimization │ │ ├── 01-Gradient_Descent.ipynb │ │ ├── 02-Implemet-GD-in-LinearRegression.ipynb │ │ ├── 03-SGD.ipynb │ │ └── 04-mini-batch-GD.ipynb └── Week5 │ ├── First-NN │ ├── First-NN.ipynb │ └── img │ │ ├── 1.png │ │ └── 2.png │ ├── LeetCode │ ├── LeetCode_HomeWork-5.ipynb │ └── images │ │ └── 17_telephone_keypad.png │ └── RNN 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