scikit-learn-project

Scikit-Learn Machine Learning Project

📚 Project Overview

This project demonstrates the implementation of machine learning models using Scikit-Learn (sklearn), a popular Python library for machine learning. The goal of this project is to perform data preprocessing, train models, evaluate performance, and make predictions using supervised learning algorithms.

---

⚡ Features

• Data Loading and Preprocessing (handling missing values, scaling, encoding categorical features)
• Model Training (e.g., Linear Regression, Decision Tree, Random Forest, SVM, etc.)
• Model Evaluation (accuracy, precision, recall, confusion matrix)
• Hyperparameter Tuning (using GridSearchCV)
• Making Predictions on New Data