sklearn相关

sklearn中文网站：http://sklearn.apachecn.org/cn/stable/index.html

sklearn英文网站：http://scikit-learn.org/stable/index.html

核心啊，整个论文的实验围绕着这个写的：
使用sklearn库中的SVR做回归分析
http://www.dataivy.cn/blog/regression_with_sklearn/

总结学习：

python之sklearn学习笔记
https://blog.csdn.net/lilianforever/article/details/53780613

SKNN(scikit-neuralnetwork)的几个例子
http://blkstone.github.io/2016/02/25/sknn-tutorial/

sklearn使用总结
https://blog.csdn.net/qingqing7/article/details/78661298

sklearn-统计机器学习教程
https://hacpai.com/article/1462889489742?p=1&m=0

scikit-learn主要模块和基本使用方法
https://www.cnblogs.com/CheeseZH/p/5250997.html

Sklearn 快速入门
https://www.jianshu.com/p/cd5a929bec33

理论：

scikit-learn学习之神经网络算法
https://blog.csdn.net/gamer_gyt/article/details/51255448

参数优化：

sklearn参数优化方法
https://www.cnblogs.com/nolonely/p/7007961.html

【scikit-learn】网格搜索来进行高效的参数调优
https://blog.csdn.net/jasonding1354/article/details/50562522

train_test_split,GridSearchCV,cross_val_score
https://blog.csdn.net/github_36326955/article/details/59478882

sklearn-GridSearchCV,CV调节超参使用方法
https://blog.csdn.net/u012969412/article/details/72973055

Sklearn-CrossValidation交叉验证
https://blog.csdn.net/cherdw/article/details/54986863

sklearn学习记录三：cross-validation
https://blog.csdn.net/nkwangjie/article/details/17471929

使用及例子：

scikit-learn 支持向量机算法库使用小结
http://www.cnblogs.com/pinard/p/6117515.html

python机器学习库scikit-learn：SVR的基本应用

https://blog.csdn.net/zhurui_idea/article/details/60329731

sklearn.model_selection.cross_val_score¶
http://scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html#sklearn.model_selection.cross_val_score
sklearn.model_selection.GridSearchCV¶
sklearn.learning_curve.learning_curve¶
Plotting Learning Curves¶
Plotting Validation Curves¶
3.5. Validation curves: plotting scores to evaluate models¶
sklearn.model_selection.learning_curve¶
Comparison of kernel ridge regression and SVR¶
Support Vector Regression (SVR) using linear and non-linear kernels¶
sklearn.svm.SVR¶
sklearn.neural_network.MLPRegressor¶

用学习曲线 learning curve 来判别过拟合问题
https://blog.csdn.net/aliceyangxi1987/article/details/73598857

工具：

https://www.anaconda.com/download/

python 同时遍历多个变量
https://www.cnblogs.com/superxuezhazha/p/6344910.html

matplotlib.pyplot.plot
https://matplotlib.org/api/_as_gen/matplotlib.pyplot.plot.html#matplotlib.pyplot.plot

Python数据可视化-seaborn
https://www.cnblogs.com/gczr/p/6767175.html

理解：
tensorflow是深度学习框架
sklearn是机器学习框架，主要用于单机。
机器学习分布式框架主要是spark库。