Introduction

Predicting scores accurately is crucial in various fields, from sports analytics to academic performance prediction. This project aims to deliver an effective solution for predicting scores based on relevant features using supervised machine learning algorithms. By leveraging this repository, you can delve into the world of machine learning, explore different algorithms, and fine-tune models to achieve optimal performance.

Features

• Data Preprocessing: Comprehensive data preprocessing techniques to clean, transform, and prepare data for modeling.
• Supervised Learning Models: Implementation of various supervised learning algorithms such as linear regression, decision trees, random forests, etc.
• Model Evaluation: Robust evaluation metrics to assess the performance of trained models and make informed decisions.