Data Pre-Processing Tool for Supervised Machine Learning

Enhancing supervised machine learning (SML) using various CSV data through thorough data preprocessing, visualization, and algorithm selection, suitable for both classification and regression model.It focuses on preparing the data, understanding it visually, and choosing the best algorithm for the task.By cleaning and transforming the data, it ensures high-quality input for modeling.Visualization techniques help in grasping data patterns.The project compares different algorithms like decision trees and support vector machines to find the most accurate and efficient one.Overall, it offers a structured tool for optimizing machine learning processes.