100 Days Challenge Day 34 - Logistic Regression from Scratch

100 Days of ML Code Challenge Day 34

Implementing Logistic Regression from Scratch

Trained a Logistic Regression Model using only numpy matrix operations (Labels are made on linear function of input data added to Gaussian noise). Prediction accuracy is around 97.5%

Code: https://github.com/hithesh111/Hith100/blob/master/logistic_regression_from_scratch.ipynb