【增加了中文翻译】
This repository contains implementations of basic machine learning algorithms in plain Python (Python Version 3.6+). All algorithms are implemented from scratch without using additional machine learning libraries. The intention of these notebooks is to provide a basic understanding of the algorithms and their underlying structure, not to provide the most efficient implementations.
- Linear Regression(线性回归)
- Logistic Regression(逻辑回归)
- Perceptron(感知机)
- k-nearest-neighbor(K 最近邻)
- k-Means clustering(K 均值聚类)
- Simple neural network with one hidden layer(单隐层神经网络)
- Multinomial Logistic Regression(多项式逻辑回归)
See the LICENSE file for license rights and limitations (MIT).