Machine Learning Notebooks using PyCaret

KV Subbaiah Setty

• email: kvssetty@gmail.com
• linkedin: kvssetty
• website: blog
• github: KVSSetty
• medium: KV Subbaiah Setty

This repository contains notebooks and other files associated with my Machine Learning tutorials primarily using PyCaret.

Installation Notes

This tutorial requries the following packages:

• Python version 3.5+
• numpy version 1.5 or later: http://www.numpy.org/
• scipy version 0.10 or later: http://www.scipy.org/
• matplotlib version 1.3 or later: http://matplotlib.org/
• scikit-learn version 0.14 or later: http://scikit-learn.org
• jupyter lab version 1.0 or later, with notebook support: https://jupyter.org/index.html
• seaborn version 0.5 or later: https://seaborn.pydata.org/
• pandas vesion 1.0.0 or later: https://pandas.pydata.org/
• pycart latest version: https://pycaret.org/

The easiest way to get these is to use the anaconda or miniconda environment manager. I suggest downloading and installing anaconda the easiest way as all the packages pre installed and you can start my tutorials immediatly.

Downloading the Tutorial Materials

I would highly recommend using GitHub Desktopif you are Windows, not only for this tutorial, but for the general betterment of your life. Once GitHub Desktop is installed, you can clone the material in this tutorial by using the git address shown above or use the command line tool after installing just git:

git clone
git://github.com/KVSSetty/ml-notebooks.git

If you can't or don't want to install any of the packages including python, anaconda and git. there is a link (button) below to directly reach the tutorial notebooks in your browser. Yes it is true run python code without installing python in your system. It is not Magic. Try any of the following three !

or use cololab or use Kaggale