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codewithzichao / Machine_Learning_Code

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《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/FM/FFM)的原理讲解与python和类库实现

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机器学习模型的python与类库实现

本repo以李航博士的《统计学习方法》为路线,逐章讲解并实现其中所有的算法;此外,还会加上常用的机器学习模型,譬如GBDT、XGBoost、Light GBM、FM、FFM等等,力争将传统的机器学习方法能够融汇贯通🎉

统计学习方法|感知机模型

模型理论讲解:统计学习方法|感知机模型原理详解及实现

模型代码实现:perceptron_python.pyperceptron_sklearn.py

统计学习方法|K近邻

模型理论讲解:统计学习方法|K近邻算法原理详解与实现

模型代码实现:KNN_python.pyKNN_sklearn.py

统计学习方法|朴素贝叶斯

模型理论讲解:统计学习方法|朴素贝叶斯模型原理详解与实现

模型代码实现:Naive_Bayes_python.pyNaive_Bayes_sklearn.py

统计学习方法|决策树

模型理论讲解:统计学习方法|决策树模型原理详解与实现

模型代码实现: decision_tree_python.pydecision_tree_sklearn.py

统计学习方法|logistic回归

模型理论讲解:统计学习方法|logistic回归模型详解与实现

模型代码实现:logisitic_regression_python.pylogistic_regression_scikit-learn.py

机器学习|softmax

模型理论讲解:机器学习|softmax模型原理讲解与实现

模型代码实现:softmax_python.py

统计学习方法|最大熵模型

模型理论讲解:统计学习方法|最大熵模型原理详解与实现

模型代码实现:Max_Entropy.py

统计学习方法|支持向量机

模型理论讲解:统计学习方法|支持向量机模型原理详解与实现

模型代码实现:SVM_python.pySVM_sklearn.py

统计学习方法|AdaBoost

模型理论讲解:统计学习方法|AdaBoost模型原理详解与实现

模型代码实现:

机器学习|XGBoost模型原理详解与实战

模型理论讲解:机器学习|XGBoost模型原理详解与实战

模型应用实战xgboost_mnist.py

机器学习|LightGBM/catBoost

模型理论讲解:机器学习|LightGBM与catBoost模型原理详解

统计学习方法|EM算法

模型理论讲解:统计学习方法|EM算法与GMM模型原理详解与实现

模型代码实现:

统计学习方法|HMM

模型理论讲解:统计学习方法|隐马尔可夫模型原理详解与实现

模型代码实现:HMM_hmmlearn.pyHMM_python.py

统计学习方法|CRF

模型理论讲解:统计学习方法|条件随机场模型原理详解与实现

模型代码实现:CRF_python.pyCRF_sklearn.py

机器学习|FM/FFM

模型理论讲解:机器学习|FM模型与FFM模型原理详解

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