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AdaBoost实现强分类器.ipynb
AdaBoost实现强分类器.ipynb
 
 
Adaboost进行给定训练集并且最终分类器可视化.ipynb
Adaboost进行给定训练集并且最终分类器可视化.ipynb
 
 
CART对莺尾花分类.ipynb
CART对莺尾花分类.ipynb
 
 
README.md
README.md
 
 
XGBoost和GBDT的执行速度的比较.ipynb
XGBoost和GBDT的执行速度的比较.ipynb
 
 
boston_housing.data
boston_housing.data
 
 
data_lr.model
data_lr.model
 
 
data_ss.model
data_ss.model
 
 
household_power_consumption_1000.txt
household_power_consumption_1000.txt
 
 
household_power_consumption_200.txt
household_power_consumption_200.txt
 
 
iris.data
iris.data
 
 
k'means聚类应用.ipynb
k'means聚类应用.ipynb
 
 
kmeans和mini batch kmeans对数据进行分类操作.ipynb
kmeans和mini batch kmeans对数据进行分类操作.ipynb
 
 
kmeans处理聚类数据.ipynb
kmeans处理聚类数据.ipynb
 
 
knn实现波士顿房价预测.ipynb
knn实现波士顿房价预测.ipynb
 
 
knn实现莺尾花分类.ipynb
knn实现莺尾花分类.ipynb
 
 
linear0805.model
linear0805.model
 
 
machine learning.ipynb
machine learning.ipynb
 
 
risk_factors_cervical_cancer.csv
risk_factors_cervical_cancer.csv
 
 
winequality-red.csv
winequality-red.csv
 
 
winequality-white.csv
winequality-white.csv
 
 
不同核函数对莺尾花进行分类操作.ipynb
不同核函数对莺尾花进行分类操作.ipynb
 
 
决策树预测波士顿房价.ipynb
决策树预测波士顿房价.ipynb
 
 
回归代码手敲.ipynb
回归代码手敲.ipynb
 
 
基于矩阵的梯度下降法手敲.ipynb
基于矩阵的梯度下降法手敲.ipynb
 
 
家庭用电 时间和功率以及功率和电流关系.ipynb
家庭用电 时间和功率以及功率和电流关系.ipynb
 
 
手写数字识别.ipynb
手写数字识别.ipynb
 
 
手动实现梯度下降法.ipynb
手动实现梯度下降法.ipynb
 
 
时间和电压的关系.ipynb
时间和电压的关系.ipynb
 
 
波士顿房价预测四种回归算法的比较.ipynb
波士顿房价预测四种回归算法的比较.ipynb
 
 
过拟合样例.ipynb
过拟合样例.ipynb
 
 
随机森林预测宫颈癌.ipynb
随机森林预测宫颈癌.ipynb
 
 
集成学习和单个线性回归，单个决策树R2的比较.ipynb
集成学习和单个线性回归，单个决策树R2的比较.ipynb
 
 

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实现的一些算法代码

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