d378: Machine Learning from scratch Python

Machine Learning from scratch in Python:

Current implementations:

Supervised Learning:

• Adaboost
• Decision Tree
• K Nearest Neighbors
• Linear Discriminant Analysis
• Linear Regression
• Logistic Regression
• Multi-class Linear Discriminant Analysis
• Multilayer Perceptron
• Naive Bayes
• Perceptron
• Random Forest
• Ridge Regression
• Support Vector Machine

Unsupervised Learning:

• Gaussian Mixture Model
• Principal Component Analysis
• K-Means

Discussion: https://news.ycombinator.com/item?id=13732288