Project Overview
Background: The Ultimate Fighting Championship (UFC) is a mixed martial arts company based in Las Vegas, United States. Fights occur throughout the year within the 11 different weight classes, and has hosted over 600 events. The dataset used for this analysis includes data from every fight on record (from 1993 - 2021), and includes each fighter's career stats before the fight, stats from the fight, and other info (such as location and referee).
Motivation: In order to have a successful and long career in the UFC, fighters need to have a higher win/loss ratio.
Objective: Understand the key factors for winning fights.
Scope: The project contains data from 1993 - 2021 and will be used to strategize training for fighters' first big fight.
My Contributions
Sourced Open Data
Explored Relationships, such as correlations, using Python and libraries
Created Geographical Visualizations and other Statistical Visualizations
Created Supervised and Unsupervised Machine Learning Models
Sourced and Analyzed Time Series Data
Created Data Dashboards
