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https://github.com/techshot25/graduateadmissions
Looking at the probability of being accepted in a graduate program using a machine learning model
https://github.com/techshot25/graduateadmissions
bayesian-regression correlation-matrices data-analysis data-science linear-regression machie-learning random-forest-regression regression ridge-regression
Last synced: about 1 month ago
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Looking at the probability of being accepted in a graduate program using a machine learning model
- Host: GitHub
- URL: https://github.com/techshot25/graduateadmissions
- Owner: techshot25
- License: mit
- Created: 2019-01-14T17:48:19.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2019-01-14T17:55:14.000Z (about 6 years ago)
- Last Synced: 2024-11-10T12:40:09.083Z (3 months ago)
- Topics: bayesian-regression, correlation-matrices, data-analysis, data-science, linear-regression, machie-learning, random-forest-regression, regression, ridge-regression
- Language: Jupyter Notebook
- Size: 146 KB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# GraduateAdmissions
Looking at the probability of being accepted in a graduate program using a regression model
If you cannot open `GraduateAdmissions.ipynb` click [here](https://nbviewer.jupyter.org/github/techshot25/GraduateAdmissions/blob/master/GraduateAdmissions.ipynb).