- regreesion_tree.py 机器学习算法之回归树,原理请看:https://blog.csdn.net/just_sort/article/details/100574688
- gbdt_regession.py 机器学习算法之梯度提升决策树(GBDT)回归,原理请看:https://blog.csdn.net/just_sort/article/details/100604262
- gbdt_classify.py 机器学习算法之梯度提升决策树(GBDT)分类,如果要运行这个脚本需要将gbgt_regression.py的内容替换为gbdt_classify_regression.py,因为GBDT分类继承了GBDT分类的类,所以类里面的某些函数会重写。原理请看: https://blog.csdn.net/just_sort/article/details/100658881
- max_heap.py 机器学习算法之最大堆,原理请看:https://blog.csdn.net/just_sort/article/details/100740794
- linear_regression.py 机器学习算法之线性回归。算法原理请看:https://blog.csdn.net/just_sort/article/details/101216607
- logistic_regression.py 机器学习算法之逻辑斯蒂回归。算法原理请看:https://blog.csdn.net/just_sort/article/details/101272026
- kd_tree.py 机器学习算法之KD树,是KNN的基础。算法原理请看:https://blog.csdn.net/just_sort/article/details/101296358
- knn.py 机器学习算法之k邻近算法。算法原理请看:https://blog.csdn.net/just_sort/article/details/101530830
- gauss_nb.py 机器学习算法之高斯朴素贝叶斯算法。算法原理请看:https://blog.csdn.net/just_sort/article/details/101704567
- als.py 机器学习算法之交替最小二乘法(ALS)算法。算法原理请看:https://blog.csdn.net/just_sort/article/details/101762055
- decision_tree.py 机器学习算法之决策树算法。算法原理请看:https://blog.csdn.net/just_sort/article/details/102400047
- random_forest.py 机器学习算法之随机深林算法。算法原理请看:https://blog.csdn.net/just_sort/article/details/102415869
- kmeans.py 机器学习算法之Kmeans聚类算法。算法原理请看:https://blog.csdn.net/just_sort/article/details/102499619
- ridge.py 机器学习算法之脊回归算法。算法原理请看:https://blog.csdn.net/just_sort/article/details/102511645
- lda-two-classify.py 机器学习算法之LDA二分类算法。算法原理请看:https://blog.csdn.net/just_sort/article/details/102690086
- lda-multi-classify.py 机器学习算法之LDA多分类。算法原理请看:https://blog.csdn.net/just_sort/article/details/102701240
- perceptron.py 机器学习算法之感知机算法。算法原理请看:https://blog.csdn.net/just_sort/article/details/102792788
- pca.py 机器学习算法之PCA算法。算法原理请看:https://blog.csdn.net/just_sort/article/details/102943659
- 图片要是没加载出来直接搜GiantPandaCV 就好。