Call of Duty World League: Search & Destroy Outcome Predictions

CWL Image

Growing up as an avid Call of Duty player, I was always curious about what factors led to a team winning or losing a match. Was it strictly based on the number of kills each player obtained? Was it who played the objective more? Or was it something different? Finally, after years of waiting, I decided that it was time to find my answers. Coupling my love for Call of Duty and my passion for data science, I began to investigate predicting the outcome of Search & Destroy games from the Call of Duty World League’s 2018 and 2019 seasons.

Utilizing Python, I created a Logistic Regression binary classification model that provided insight into the significant factors




To finish reading, please visit source site