Game-Recommendation-System

A content based filtering recommendation system for Steam games using python.

Libraries Used

• Pandas
• Sklearn
• Google.colab, io (Google Colab version)

How to run:

Running through offline notebooks:

1. Download the Offline_Version.ipynb file and steam.csv (Keep the steam.csv file in the same folder as Offline_Version.ipynb file)

2. Launch the Juypter Notebook and open the Offline_notebook.ipynb file and run

Running through Google Colab:

1. Upload the Colab_version.ipynb file

2. When asked to upload the dataset, upload the steam.csv file.

Dataset used from Kaggle: Steam Store Games (2019) by Nik Davis

Warnings:

• Run with at least 7gb of RAM.
• Excution might take time depending on the hardware being used (Cloud services is highly recommended).
• If there is an error after input of the game, it would be likely due to naming error. Search the csv file for the exact name for the game.