Create 👉 EDA_CarInsuranceClaim.ipynb #624
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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.
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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.