**Starter notebook**: https://jovian.ml/aakashns/02-insurance-linear-regression

**Submit here**: https://forms.gle/2cauNYZn9ajgrEqN7

**Submission Deadline**: ~~June 6~~ **June 13, 8.30 AM PST/9:00 PM IST**

## Overview

In this assignment, we’re going to use information like a person’s age, sex, BMI, no. of children, and smoking habit to predict the price of yearly medical bills. We will train a model with the following steps:

- Download and explore the dataset
- Prepare the dataset for training
- Create a linear regression model
- Train the model to fit the data
- Make predictions using the trained model

## Steps to complete the assignment

- Fork & run this notebook: https://jovian.ml/aakashns/02-insurance-linear-regression
- Fill out all the
**???**in the notebook to complete the assignment, and commit the final version to Jovian - Submit your assignment here: https://forms.gle/2cauNYZn9ajgrEqN7
- (Optional) Replicate the model training for another dataset & write a blog post
- (Optional) Share your work with the community on the Share Your Work Here - Assignment 2 thread

Make sure to review the material from Lecture 2 before starting the assignment. Please reply here if you have any questions or face issues. The recommended platform for writing your blog post is medium.com .