# Machine-Learning-From-Scratch

**Repository Path**: whs075/Machine-Learning-From-Scratch

## Basic Information

- **Project Name**: Machine-Learning-From-Scratch
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-05-08
- **Last Updated**: 2025-05-08

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Machine-Learning-From-Scratch
常用机器学习的算法简洁实现
## About
从零开始实现机器学习算法，简洁的实现版本<br>
附源码讲解网址，网址中记录了我学习机器学习算法的过程方法与资料<br>
http://www.dmlearning.cn/

## 算法目录
- [Machine Learning From Scratch](#machine-learning-from-scratch)
  * [Decision Tree](decision_tree)
  * [Random Forest](random_forest)
  * [Gradient Boosting](gradient_boosting_decision_tree)
  * [XGBoost](xgboost)
  * [Principal Component Analysis](pca)
  * ICA
  * [Support Vector Machine](support_vector_machine)
  * [Linear Regression](linear_regression)
  * [Logistic Regression](logistic_regression)
  * [Naive Bayes](naive_bayes)
  * Bayesian Regression
  * [K Nearest Neighbors](k_nearest_neighbors)
  
 ## Reference
借鉴了Erik的代码<br>
https://github.com/eriklindernoren<br>
借鉴了rushter的代码<br>
https://github.com/rushter/MLAlgorithms