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
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Readme
MachineLearningWithMe
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
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