A machine learning project that predicts student final grades using classical ML algorithms on the Student Performance dataset. The dataset includes student performance data from two Portuguese schools, covering Mathematics and Portuguese language courses with demographic, social, and school-related features.
Predicting students performance in exams using machine learning classifiers : Logistic regression, KNN and SVM. Extraction of factors impacting students' performances.
Student performance prediction models
Exploratory Data Analysis and Visualization of Student Performance using Python (Pandas, Matplotlib, Seaborn).
Student Performance (Multiple Linear Regression)
This project analyzes student performance data using Python. It explores how gender, parental education, lunch type, and test preparation affect math, reading, and writing scores. Includes data cleaning, EDA, and visualizations using pandas, matplotlib, and seaborn.
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