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scikit-learn-master
- 基于physon的图像处理方面的特征提取及识别的程序代码-scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license. The project was started in 2007 by David Cournapeau as a Google Summer of Code project, a
imbalanced-learn-master
- 基于不均衡数据的学习，包含各种机器学习算法，python 操作(imbalanced-learn is a python package offering a number of re-sampling techniques commonly used in datasets showing strong between-class imbalance. It is compatible with scikit-learn_ and is part of scikit-learn-contr
mps_install
- cikit-Learn是基于Python的机器学习模块，基于BSD开源许可证。这个项目最早由DavidCournapeau 在2007 年发起的，目前也是由社区自愿者进行维护。 Scikit-Learn的官方网站是http://scikit-learn.org/stable/，在上面可以找到相关的Scikit-Learn的资源，模块下载，文档，例程等等。 Scikit-Learn的安装需要numpy，scipy，matplotlib等模块，windows用户可以到(Cikit-Learn i
Hands_on_ML
- 很棒的入门向机器学习/数据科学的图书，基于scikit learn和TensorFlow库，手把手叫你如何上手机器学习，如何做数据挖掘。(the Best seller In American Amazon. With this book, you can learn a lot about how to use sklean and Tensorflow, in addition, you can have a practical understanding on the whole mach
机器学习实战：基于Scikit-Learn和TensorFlow
- 基于scikit-learn和tensorflow的机器学习实战教程(Machine Learning Practical Course)