PY-101 Introduction to Python and Machine Learning

A series of Python and Machine Learning tutorials as jupyter notebooks for beginners with no programming experience. Zero installation required.

Author: Obai Shaikh

Getting Started:

This tutorial uses Google's Colab site to skip the Python installation. Here is how to get started immediatly:

1. Click on a notebook to open it in Google Colab:

   • 01_Python_Basics
   • 02_Numpy_Pandas_Matplotlib (coming soon...)
   • 03_Intro_to_Machine_Learning (coming soon...)

2. Sign-in using your Gmail/Google account

3. Click File > Save or "Copy to Drive"

Notes:

• You must sign-in and save a copy of the notebook to be able to edit it.
• Once saved, you can access your notebook from any machine.
• Your notebook will be saved on the Google cloud... no need to re-upload it. All you have to do is sign into Google Colab.

Course Content:

Notebook 1. PY-101_Python_Basics:

0. Background information
1. Built-in types
2. Operations
3. Built-in data structures
4. Built-in functions
5. Flow control
6. Creating functions
7. Bringing it all together