Intelligent Water Quality Prediction Using Machine Learning Algorithms
Built a machine learning model to predict water quality using water parameter datasets. Applied preprocessing, feature selection, model evaluation, visualization, and performance metrics using Python and Scikit-learn. Compared Decision Tree, Random Forest, Logistic Regression, and Support Vector Machine algorithms.