/Kmeans-MachineLearningWithMe

A repository contains more than 10 common statistical machine learning algorithm implementations. 常见机器学习算法原理与实现

Primary LanguagePython

MachineLearningWithMe

[中文|English]

This project contains more than 10 common statistical machine learning algorithm implementations.

Content

2022年

Chapter 1：Introduction of Environment Installation (in Chinese)

The Python version is 3.6. See requirements.txt for each Python package version. You can install all packages with the following command:

pip install -r requirements.txt

Chapter 2: Understanding Linear Regression from Scratch

Chapter 3：Understanding Logistics Regression from Scratch

Chapter 4：Model Optimization and Generalization

Chapter 5：K-nearest Neighbor Analysis and KD tree

Chapter 6：Naive Bayes and Implementation

Chapter 7：Text Feature Extraction and Model Reuse

Chapter 8：Decision Tree and Ensemble Learning

Chapter 9：Support Vector Machines and Implementation

Chapter 10：Clustering Algorithm

Chapter 11：Dimensionality Reduction

Chapter 12：Self-training and Label Propagation