SEABORN MACHINE LEARNING PROJECTS

Table of Contents

1. About
   • Built With
   • Projects
2. Contributing
3. Contact

About

It contains different ML projects which created by using seaborn datasets.

Projects

1. Pulse Prediction Project with Random Forest Classification

● In this project, pulse is predicted by entering the activity status, activity time and weight status.
● Project has a Flask app to be able to serve the last user.

Project Details

2. Penguin Species Prediction Project with Random Forest Classification

● In this project, species is predicted according to penguins' bill length, bill depth, flipper length, body mass, island and sex.
● Project has a Flask app to be able to serve the last user.

Project Details

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Built With

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Contributing

1. Fork the Project
2. Create your Feature Branch (git checkout -b )
3. Commit your Changes (git commit -m )
4. Push to the Branch (git push origin )
5. Open a Pull Request

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Contact

Zehra ÖZEREN - zehrarhezz9@gmail.com

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