This project analyzes a large-scale sports betting dataset using Exploratory Data Analysis (EDA).The goal is to understand user betting behavior, identify patterns, detect anomalies, and prepare the data for a classification model predicting whether a bet will win (is_win = True/False).
Rows: 100,000
Columns: bet_id, user_id, bet_type, sport, odds, is_win, stake, gain, GGR
Each row… See the full description on the dataset page:
https://huggingface.co/datasets/hjuffernbruch/sport_betting_analysis.
