https://github.com/artainmo/dslr
42 school project. Read, visualize in multiple ways and clean a dataset to be used inside own logistic regression for classification in python with limited functions access.
https://github.com/artainmo/dslr
42school artificial-intelligence data-science logistic-regression python
Last synced: over 1 year ago
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42 school project. Read, visualize in multiple ways and clean a dataset to be used inside own logistic regression for classification in python with limited functions access.
- Host: GitHub
- URL: https://github.com/artainmo/dslr
- Owner: artainmo
- Created: 2020-09-24T10:40:27.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2023-09-14T20:58:04.000Z (almost 3 years ago)
- Last Synced: 2025-01-22T15:32:19.510Z (over 1 year ago)
- Topics: 42school, artificial-intelligence, data-science, logistic-regression, python
- Language: Python
- Homepage:
- Size: 305 KB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# dslr
42 school [subject](https://cdn.intra.42.fr/pdf/pdf/66359/en.subject.pdf).
Read, visualize in multiple ways and clean a dataset to be used inside own logistic regression algorithm for classification in python.
To learn more about the theory behind this project, read the comments inside the code.
## Compatibility
Matplotlib config set to run on macos big-sur/catalina/Mojave.
Not possible without sudo permissions to download scikit-learn on VM ubuntu.
Programmed on python3.7.7.