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ElijahBarbour/UFC-Fight-Prediction-Using-Neural-Networks

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This project is somewhat a continuation of my first project, UFC Fight Prediciton Using Machine Learning, but is slightly different. This project constructs a Multi-Layer Neural Network Model in order to predict the winners of UFC Fights.

⏳ Dataset

Ultimate UFC Dataset By Kaggle user: mdabbert.

Appendix

Computer Science Learning Constructing a Binary Classifier Using Neural Network with Python

Keith Galli Introduction to Neural Networks in Python (what you need to know) | Tensorflow/Keras

How to choose the number of hidden layers and nodes in a feedforward neural network?

🖥️ Installation

🛠️ Requirements

  • ipykernel 6.9.0
  • Tensorflow 2.8.0
  • scikit-learn 1.0.2
  • pandas 1.4.1
  • seaborn 0.11.2
  • matplotlib 3.5.1

⚙️ Setup

  • Install :-
  pip install ipykernel pandas tensorflow sklearn matplotlib seaborn pickle-mixin streamlit

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

Here

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