This project conducts a detailed analysis of automobile characteristics and their corresponding insurance risk ratings. Employing statistical and machine learning techniques like PCA and Random Forest Classification, the project uncovers significant insights into how car features such as engine size, price, and dimensions influence insurance risk ratings.
- Identification of primary factors impacting insurance risk.
- Analysis of the relationship between car attributes and safety ratings.
- Predictive modeling to estimate insurance risk based on car features.
git clone https://github.com/yourusername/automobile-risk-analysis.git
cd automobile-risk-analysis
pip install -r requirements.txt