In this project, I applied regression analysis to explore relationships between variables, build predictive models, and evaluate model performance using real-world data.
? Data cleaning & preprocessing
? Exploratory Data Analysis (EDA)
? Feature selection & multicollinearity checks
? Linear regression modeling
? Model evaluation (R², RMSE, residual analysis)
? Insights & data-driven recommendations
This project demonstrates practical skills in Python, pandas, NumPy, scikit-learn, and statistical thinking used in real data analytics workflows.