Playtime Classification with Logistic Regression

[Varunshiyam]

Is your feature request related to a problem? Please describe.

Predicting user playtime categories in a gaming environment can provide insights into player behavior, enhancing personalized recommendations and improving retention strategies. This project aims to build a logistic regression model that accurately categorizes playtime data, enabling game developers to better understand their users and optimize gameplay experiences.

Describe the solution you'd like

This project utilizes logistic regression to classify playtime data into various categories based on factors such as session length, frequency, and user demographics. By leveraging this model, we can analyze and predict playtime patterns, helping stakeholders in the gaming industry understand user engagement more effectively. Logistic regression, a supervised learning method, is chosen for its effectiveness in binary and multiclass classification tasks, especially for datasets where interpretability is important.

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[github-actions[bot]]

Hello @Varunshiyam! Your issue #864 has been closed. Thank you for your contribution!