This repository contains my implementations and notes from the Supervised Learning section of the Coursera Machine Learning Specialization.
This directory contains an implementation of linear regression with one variable to predict profits for a restaurant franchise, as part of the linear regression module in the course.
- Linear_Regression.ipynb: Jupyter notebook implementing linear regression on the restaurant dataset.
This directory contains implementations of logistic regression applied to two different datasets, as part of the logistic regression module in the course.
- Logistic_Regression.ipynb: Jupyter notebook implementing logistic regression on the iris and social network datasets.
This is part of my machine learning practicing journey. The implementations and notes here are based on the materials and assignments from the Coursera Specialization linked above.