This is one of my first works on machine learning, but one of the most visual and easy to understand.
In this study, I analyzed a simple dataset of Iris flowers, their properties and sizes. Then I built several prediction models for these parameters and chose the most optimal one.
Instruments
- Google Collaboratory;
- Python and its libraries (Pandas, Scipy, Numpy, Matplotlib, Sklearn)
