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项目作者： ranamihir

项目描述 ：
Barebones numpy implementations of basic Machine Learning algorithms, and their examples with scikit-learn.
高级语言： Jupyter Notebook
项目地址: git://github.com/ranamihir/machine_learning_basics.git
创建时间： 2016-07-25T11:56:44Z
项目社区：https://github.com/ranamihir/machine_learning_basics
开源协议：
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This repository contains (bare-bones) pure numpy implementations in the scikit-learn API format of the following basic Machine Learning algorithms:

  • Linear Regression
  • Logistic Regression
  • kNN
  • kMeans
  • Decision Trees
  • Random Forests
  • Gradient-boosted Trees

Some scikit-learn examples of these examples are also provided in the scikit-examples folder.