Student GPA Prediction Using Machine Learning

Developed a Machine Learning project to predict students' GPA based on relevant academic and student-related features.

The project includes data preprocessing, exploratory data analysis, feature preparation, model training, and model evaluation. Different Machine Learning techniques were used to build a predictive model and evaluate its performance.

The project was implemented in Python using Pandas, NumPy, Matplotlib, and Scikit-learn.

This project demonstrates practical skills in data analysis, data preprocessing, Machine Learning, and predictive modeling.