A Machine Learning project that analyzes student performance factors and predicts Low, Medium, and High performance levels using Logistic Regression, KNN, Gaussian Naive Bayes, and Random Forest. Includes data cleaning, exploratory data analysis, visualization, and model evaluation using Python, Pandas, NumPy, Matplotlib, and Scikit-learn.
mridul2172/Student_Performance_Prediction: A Machine Learning project that analyzes student performance factors and predicts Low, Medium, and High performance levels using Logistic Regression, KNN, Gaussian Naive Bayes, and Random Forest. Includes data cleaning, exploratory data analysis, visualization, and model evaluation using Python, Pandas, NumPy, Matplotlib, and Scikit-learn.
