This project presents a simple binary classification problem using logistic regression. The goal is to train a model to distinguish between two groups of data, which are centered around arbitrary points, using PyTorch.
In this project, we will explore and implement a model that uses polynomial regression to predict housing prices based on one feature of the dataset (number of rooms).
In this project, I will demonstrate how to build a linear regression model using the scikit-learn library to predict housing prices based on the number of rooms.