UFC Fight Prediciton Using Machine Learning

This project is made in order to predict the winners of UFC Fights using physical statistics like height, age, etc. This project tests multiple Classification Techniques and uses the highest accuaracy Model to make predictions. The Model is then demonstrated within web app using Streamlit.

⏳ Dataset

Ultimate UFC Dataset By Kaggle user: mdabbert.

Appendix

Python Engineer Build A Machine Learning Web App From Scratch
Avinash Navlani Understanding Logistic Regression in Python
Karmanya Aggarwal UFC Predictor and Notes
Atul Patel Feature Selection using ANOVA Test for Classification and Regression
Jason Brownlee How to Choose a Feature Selection Method For Machine Learning

🖥️ Installation

🛠️ Requirements

Pandas 1.3.0
Numpy 1.19.5
Matplotlib 3.4.2
Matplotlib-inline 0.1.2
Pickle-Mixin 1.0.2
Scikit-Learn 0.24.2

⚙️ Setup

Install :-

  pip install numpy

  pip install pandas

  pip install matplotlib

  pip install pickle-mixin

  pip install sklearn

Deployment

This Machine Learning Project is ran using Streamlit. The necessary python scripts for streamlit are included in repository. You can find a deployed version of this project

ElijahBarbour/UFC-Fight-Prediction-Using-Machine-Learning