Pune, Maharashtra, India
Summary
Conducted comprehensive data analysis and machine learning model development to predict academic outcomes and enhance data processing workflows.
Highlights
Developed and compared Linear, Multiple Linear, Polynomial, and Decision Tree Regression models, accurately predicting student exam scores based on study hours, parental education, and academic history.
Executed comprehensive data preprocessing using one-hot encoding, feature scaling, and transformation techniques with pandas and NumPy, significantly enhancing model accuracy and robustness.
Validated model assumptions and ensured reliability by rigorously evaluating performance with MSE, R-squared, and Adjusted R-squared, coupled with in-depth residual analysis using Matplotlib and scikit-learn.