Predictive-Modeling-Using-Random-Forest-Algorithm

This project demonstrates the implementation of the Random Forest algorithm for classification and regression tasks. It includes data preprocessing, model training, and evaluation using metrics like accuracy and feature importance. Visualizations and insights highlight the algorithm's performance and practical applications.