DY Patil International University -Link
|Data Analyst Intern
Highlights
Built and compared Linear, Multiple Linear, Polynomial, and Decision Tree Regression models to predict student exam scores based on study hours, parental education, and academic history.
Preprocessed data using one-hot encoding, feature scaling, and transformation techniques with pandas and NumPy to improve model accuracy.
Evaluated model performance using MSE, R-squared, and Adjusted R-squared, and conducted residual analysis using Matplotlib and scikit-learn to validate model assumptions.