# MachineLearning

**Repository Path**: gzupanda/MachineLearning

## Basic Information

- **Project Name**: MachineLearning
- **Description**: Machine learning resources，including algorithm, paper, dataset, example and so on.
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-11-02
- **Last Updated**: 2021-11-02

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

## MachineLearning

机器学习算法代码及个人总结整理，对于算法实现部分，在相应目录中都包含有源码和数据以及测试实例，内容正在不断完善中！如有错误，望不吝指教。PS:所有代码均符合我们整理出来的这份[编码规范](https://github.com/csuldw/MachineLearning/blob/master/Python-coding-standards.md).

## Contents

算法部分目前主要包含如下部分：

- Logistic Regression (二分类):  [源码实现](https://github.com/csuldw/MachineLearning/tree/master/Logistic%20Regression) 。包含数据集和源码。

- Decision Tree: 决策树，[源码实现](https://github.com/csuldw/MachineLearning/tree/master/DecisionTree).

- ROC: 用于绘制ROC曲线，[源码实现](https://github.com/csuldw/MachineLearning/tree/master/ROC).

- Naive Bayes：朴素贝叶斯，[源码实现](https://github.com/csuldw/MachineLearning/tree/master/NaiveBayes).

- K-NearestNeighbor：K最近邻算法，[源码实现](https://github.com/csuldw/MachineLearning/tree/master/KNN).

- K-Means均值聚类：[源码实现](https://github.com/csuldw/MachineLearning/tree/master/Kmeans).

- Adaboost组合算法：[源码链接](https://github.com/csuldw/MachineLearning/tree/master/Adaboost)

- mRMR特征选择方法，[软件使用方法](https://github.com/csuldw/MachineLearning/tree/master/mRMR)

- 机器学习算法代码使用汇总，[Python & R Codes](http://www.csuldw.com/2015/11/21/2015-11-21-machine-learning-algorithms/)

- PCA主要成分分析, [Python实现源码](https://github.com/csuldw/MachineLearning/tree/master/PCA)

- LDA线性判别分析（Fisher判别）,[源码实现](https://github.com/csuldw/MachineLearning/blob/master/LDA/lda.ipynb)

- spark-demo：使用scala编写的spark实例.
	- invertedIndex, [Spark 倒排索引实例源码](https://github.com/csuldw/MachineLearning/tree/master/spark-demo/invertedIndex)

## Supplementary

- MNIST数据集[加载方法](https://github.com/csuldw/MachineLearning/tree/master/dataset/MNIST).


## Contributor

- 刘帝伟, 中南大学2014级硕士，[HomePage](http://www.csuldw.com).


## Contact

- QQ: 466454368
- E-mail: csu.ldw@csu.edu.cn