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https://github.com/sauravwel/admission-prediction-using-pyspark-modeling
This GitHub repository contains code for predicting the likelihood of admission using PySpark, a powerful framework for distributed data processing. The code uses various input variables, including GRE Score, TOEFL Score, University Rating to train a machine learning model that can predict the chances of admission.
https://github.com/sauravwel/admission-prediction-using-pyspark-modeling
Last synced: about 2 months ago
JSON representation
This GitHub repository contains code for predicting the likelihood of admission using PySpark, a powerful framework for distributed data processing. The code uses various input variables, including GRE Score, TOEFL Score, University Rating to train a machine learning model that can predict the chances of admission.
- Host: GitHub
- URL: https://github.com/sauravwel/admission-prediction-using-pyspark-modeling
- Owner: sauravwel
- Created: 2023-02-22T17:05:29.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-02-22T17:12:59.000Z (almost 2 years ago)
- Last Synced: 2023-04-27T12:22:03.344Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 14.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0