Challenge

Project 2 - EDA on Vehicle Insurance Customer Data

>Customer Data is given by the insurance company we have to clean the data and find information of customers who can avail
premium discounts.


> Found out all the null values then replaced them with meanvalue, replacing all outliers and white spaces in IDE Jupyter
Notebook.


>Plotted graphs using Seaborn and Matplotlib with respect to age,gender distribution, vehicle age wise annual premium.

Your portfolio, next

Ship work like this
in your own course.

Talk to a career counsellor

Free 20-minute call. We'll map the right course to where you want to work.

By submitting you agree to our Terms and Privacy Policy.