This repository contains machine learning projects focused on predicting housing prices using simple linear regression. Each project includes the dataset, a Jupyter notebook with the analysis and model implementation, and a detailed README.
-
USA Housing Data
- Description: This project uses a dataset of USA housing prices to predict housing costs based on various factors.
-
California Housing Data
- Description: This project uses the California housing dataset to predict housing prices.
-
Boston Housing Data
- Description: This project utilizes the Boston housing dataset to estimate housing prices based on different features.
-
Ecommerce Customers Dataset
- Description: This project utilizes the Ecommerce Customers Dataset to estimate Average yearly spent by customers based on different features.
To run the projects locally, clone the repository and navigate to the respective project folder. Open the Jupyter notebook (.ipynb
file) to see the analysis and model implementation.
git clone https://github.com/Danishyousuf19/Simple-Linear-Regression.git