Create 👉 EDA_CarInsuranceClaim.ipynb

[Gokulpriyaguru]

Understand the Project Requirements

GUVI’s Car Insurance Claim Prediction project usually expects:

Data Cleaning & EDA (Exploratory Data Analysis) — using Python (Pandas, Matplotlib, Seaborn).

SQL Analysis — running queries to extract insights.

Machine Learning Model — to predict whether a customer will file an insurance claim.

Power BI Dashboard — to visually represent insights and model outcomes.

Source Code Submission — your .ipynb, .sql, .pbix, and report files.