samuellachance / beat_the_market Goto Github PK

Project Title: MMA Betting Odds Prediction to Gain Money

Project Description:

The goal of this data science project is to develop a model that can predict the outcome of Mixed Martial Arts (MMA) fights, with the aim of improving the accuracy of betting odds prediction and, in turn, potentially increasing the profitability of MMA betting.

To achieve this goal, we will collect and analyze data from various sources, including fight statistics, fighter information, and betting odds data. We will also utilize machine learning algorithms to build a predictive model that can accurately predict the outcome of MMA fights.

The first step of this project will involve data collection and cleaning, where we will collect historical data from multiple sources and ensure that the data is in a usable format. Next, we will perform exploratory data analysis to gain insights into the data and identify any trends or patterns.

After data cleaning and analysis, we will train various machine learning models on the data and evaluate their performance using metrics such as accuracy, precision, recall, and F1 score. We will use cross-validation and hyperparameter tuning techniques to optimize the performance of the models.

Finally, we will deploy the model to make real-time predictions on upcoming MMA fights, compare the predicted outcomes with the betting odds, and identify potential opportunities for profitable bets.

Overall, this project aims to demonstrate how data science techniques can be applied to the field of sports betting and potentially improve the accuracy of betting odds prediction for MMA fights, leading to more profitable betting strategies for those who are interested in this area.