Internship designed to give a real-world project experience, educational materials, and personalized feedback. Will work on practical tasks aligned with industry skills and tools.

Here the prediction and analysis of student scores using selected features is done entirely by linear regression machine learning algorithm. This project covers all methods of linear regression theory.

ML end-to-end project for prediction of student marks. Implemented using regression algorithms and deployed using Flask and rest api is implemented

A Machine Learning project to predict student academic performance using regression and classification models. Includes data preprocessing, visualization, model training, and evaluation on real-world student data.

Evaluating student demographics, engagement and performance metrics for predicting dropout likelihood using supervised learning - Neural Networks & Decision Trees.

🎓 Predict student exam scores using machine learning regression models with a focus on multi-variable analysis and feature selection for accurate results.