Predicting students performance in exams using machine learning classifiers : Logistic regression, KNN and SVM. Extraction of factors impacting students' performances.
-
Updated
Dec 8, 2024
Predicting students performance in exams using machine learning classifiers : Logistic regression, KNN and SVM. Extraction of factors impacting students' performances.
Exploratory Data Analysis and Visualization of Student Performance using Python (Pandas, Matplotlib, Seaborn).
Student performance prediction models
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.
Student Performance (Multiple Linear Regression)
Add a description, image, and links to the studentperformance topic page so that developers can more easily learn about it.
To associate your repository with the studentperformance topic, visit your repo's landing page and select "manage topics."