This project aims to predict the driving range of electric vehicles based on their key specifications, primarily weight and battery capacity.
- Source: Data was collected using the 'Web Scraper' Chrome extension from EV Database.
- Scope: Includes 44 different Tesla models.
- Data cleaning and preprocessing
- Exploratory Data Analysis (EDA)
- Linear regression modeling
- Model evaluation using R²
- R² (Train): 0.85
- R² (Test): 0.81
The model demonstrated good generalization with minimal overfitting. Battery capacity showed a strong positive impact on range, while vehicle weight had a negative correlation.
- Data collection and scraping
- Data cleaning and visualization
- Statistical analysis and machine learning (linear regression)
- Python, pandas, matplotlib, scikit-learn
Designed and developed by sheydakarimabadi – an industrial designer exploring the intersection of AI and product design.