Merge pull request #777 from Varunshiyam/Fixes-#776

Fixes #776 MMA Fight Prediction

Prediction Models/MMA_Fight_prediction/Readme.md

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+# MMA Fight Prediction Model
+
+This repository contains a machine learning model designed to predict the outcome of MMA fights. Using historical data and various fighter statistics, the model aims to determine the probability of each fighter winning a given matchup. 
+
+## Table of Contents
+- [Introduction](#introduction)
+- [Problem Statement](#problem-statement)
+- [Model Overview](#model-overview)
+- [Data](#data)
+- [Installation](#installation)
+- [Usage](#usage)
+- [Results](#results)
+- [Contributing](#contributing)
+- [License](#license)
+
+## Introduction
+
+Predicting the outcome of MMA fights is challenging due to the high variability of the sport. Factors such as a fighter's style, reach, weight, previous fight record, and current form all influence the fight outcome. This project explores using machine learning techniques to analyze fight data and predict the probability of each fighter winning a matchup.
+
+## Problem Statement
+
+MMA fight outcomes are influenced by numerous factors, many of which are dynamic and hard to quantify. This project aims to address:
+- **Outcome Variability**: Accurately predicting outcomes amid unpredictable events and variations.
+- **Data Limitations**: Working with potentially sparse or incomplete historical data.
+- **Feature Engineering**: Identifying significant features to improve prediction accuracy.
+- **Generalization**: Ensuring the model works well across various fighters and events.
+
+## Model Overview
+
+The model uses historical fight data and fighter statistics to predict fight outcomes. It leverages a mix of machine learning techniques, such as:
+- Logistic Regression
+- Decision Trees
+- Ensemble Methods
+
+Key features include fighter-specific data like win-loss records, average fight time, strike accuracy, and takedown success rate. By training on historical fight outcomes, the model aims to generalize to future fight predictions.
+
+## Data
+
+The model is built using historical MMA data, which includes:
+- Fighter statistics: strikes, takedowns, reach, weight, etc.
+- Fight records: win/loss record, recent performance, and historical matchup outcomes.
+- Event details: location, fight date, and weight class.
+
+**Note**: Data files should be placed in the `data/` directory in CSV format. Example data files are provided in the repository.
+