sithi5 / dslr-1

Second project of the Data-Sicence branch at 42 Paris. This project requires you to build your own logistical regression. It also has some a mandatory part about Data Visualization to help you understand the data you manipulates

DSLR

42 2019 - DataScience Project

What is DSLR

DataScience x Logistic Regression, this project goal is following the Linear Regression one, to keep exploring the Machine Learning adding new tools and knowledge.

This project is an introduction to DataScience, It's goal is to help you visualizating data and having a better knowledege of it before putting it into a machine learning algorithm.

Running the tests

My project mark is : 120/100

If you want to test the project, you just have to

You'll just have to run the different script making sure you have the datasets files.
Watchout, python3's latest version, numpy, matplotlib may be required to launch the different executables.

Contributing

Jules Spender

Authors

• Jules Spender - Initial work - https://github.com/SpenderJ

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

• Machine Learning.
• Visualisation.
• Logisitic Regression.