This notebook analyses vehicle fuel efficiency using a dataset of cars with various attributes (e.g. engine size, weight, horsepower). The project involves:
- Exploratory Data Analysis (EDA) to understand distributions and outliers
- Data cleaning and handling missing values
- Feature importance analysis using permutation importance
- Building and evaluating regression models to predict fuel efficiency
By the end of this analysis, I identify key factors influencing fuel consumption and observe how model performance changes based on the features provided.