Machine-learning-algorithm-from-scratch

Machine learning toolkit from scratch using NumPy
Writing common algorithms from machine learning to code.
This repo will be intermittent update

Libraries Used

• Numpy

Models included

Linear Model

• Linear regressor
• Ridge regressor
• Lasso regressor
• Logistic regressor

Tree

• Decision tree
• Random forest

SVM(Support Vector Machine)

• SVM

Metrics included

Common

• Mean Squared Error
• Mean Absolute Error

Usage Example

Demo

cd WHMLT
python demo.py

• Remember to change the filepath in the demo.py

Linear Regression

from WHMLT.linear import linear

Logistic Regression

from WHMLT.linear import logistic