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https://github.com/sivatsk26/university-admit-eligibility-predictor
This project is created using Machine Learning and Regression methods- a statistical technique to predict the outcome of event which is to verify the users’ admission eligibility level, considering the universities they have chosen. This is achieved based on the algorithms implemented, when is user feed the application with the required information
https://github.com/sivatsk26/university-admit-eligibility-predictor
html-css-javascript ibm-cloud ibm-watson linear-regression machine-learning matplotlib numpy pandas python python-flask random-forest scikit-learn
Last synced: about 20 hours ago
JSON representation
This project is created using Machine Learning and Regression methods- a statistical technique to predict the outcome of event which is to verify the users’ admission eligibility level, considering the universities they have chosen. This is achieved based on the algorithms implemented, when is user feed the application with the required information
- Host: GitHub
- URL: https://github.com/sivatsk26/university-admit-eligibility-predictor
- Owner: sivatsk26
- Created: 2024-06-11T18:26:16.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-06-11T21:05:00.000Z (5 months ago)
- Last Synced: 2024-06-13T03:34:15.146Z (5 months ago)
- Topics: html-css-javascript, ibm-cloud, ibm-watson, linear-regression, machine-learning, matplotlib, numpy, pandas, python, python-flask, random-forest, scikit-learn
- Language: Jupyter Notebook
- Homepage: http://universityeligibilitypredictor.pythonanywhere.com/
- Size: 17.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0