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.

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dslr

42 school subject.

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.

About

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.


Languages

Language:Python 97.3%Language:Makefile 2.7%