This project explores a comprehensive car dataset using Python libraries like NumPy, Pandas, Matplotlib, and scikit-learn. It includes data cleaning, statistical summaries, visualizations, and predictive modeling (linear regression) to derive insights into car features such as MSRP, horsepower, fuel efficiency, and more.
- Missing value analysis and summary stats
- Grouped analysis by car origin and type
- Price segmentation: Budget, Mid-Range, Luxury
- Power-to-weight ratio computation
- Predictive modeling using linear regression (MSRP vs Horsepower)
- Data visualizations: bar chart, scatter plot, pie chart
- NumPy-powered stats: normalization, std dev, mean filtering
- Clone this repository:
git clone https://github.com/yourusername/car-data-analysis.git cd car-data-analysis
OR: 2. GO TO Github web adrees above your browser and add 'collab' to github: github.com-----> githubcollab.com