Regression Models in Python

This repository contains examples of Simple Linear Regression and Multiple Linear Regression implemented in Python using Jupyter Notebooks.

The notebooks demonstrate how regression models can be used to analyze datasets and make predictions.

Contents

Simple Linear Regression

This notebook analyzes the relationship between Years of Experience and Salary. A regression model is trained to predict salary based on experience.

Multiple Linear Regression

This notebook demonstrates Multiple Linear Regression using the 50_Startups dataset. It also explains how to handle the Dummy Variable Trap when working with categorical variables.

Technologies Used

• Python
• Pandas
• NumPy
• Scikit-learn
• Matplotlib
• Seaborn
• Plotly
• Jupyter Notebook

Files

• simple-linear-regression-salary-vs-experience.ipynb
• multiple-regression-dummy-variable-trap-handled.ipynb

Author

Sandhya Krishnan

Python | Data Science | AI