Animal Type Classifier using Scikit-Learn

The project's objective is to predict an animal's class given some of its characteristics such as hair, feathers, backbone, fins, etc. The machine learning algorithms used to create the classifier are Logistic Regression and Decision Tree.

Tools and Technologies used

• Jupyter Notebook - Open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text.
• Pandas - Data structures and data analysis tools for Python
• Python
• Scikit-Learn - Free software machine learning library for Python

Setup

Clone or download this repository and open the .ipynb file using Jupyter Notebook.

Installation of Jupyter Notebook

You can find the installation documentation for the Jupyter platform, on ReadTheDocs. The documentation for advanced usage of Jupyter notebook can be found here.

For a local installation, make sure you have pip installed and run:

$ pip install notebook

Running in a local installation

Launch with:

$ jupyter notebook

Author

• Chris John Agarap