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Enthuse JC and University workshop: Foundation of Data Science in Python

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MLDA-Enthuse-V2

Steps to follow:

Step 1a - Logging into Google Colab

** If you don't have a google account, skip to Step 1b **

Step 1b - Jupyter Notebook in Browser

** If the notebook disconnects/ dies often, consider Step 1c **

  • Go to https://jupyter.org/try
  • Click on "Try Jupyter with Python". This will launch an online jupyter notebook using binder

Step 1c - Jupyter Notebook Installation

  • If you want to install jupyter notebook into your computer,

Step 2 - Opening a notebook

  • Click File > New Python 3 Notebook to create a new .ipynb file online
  • Wondering what's a notebook?
    • Think of it like a word document where you can write your python code, run and see the outputs, add comments and notes, insert images, etc. in one place.

Step 3 - .csv file URL

  • To directly load the .csv file into your current python program, copy the corresponding url shown below and paste it inside the command
    import pandas as pd
    pd.read_csv(###DATA_URL_HERE###)
    

Part 1

Part 2a - Supervised Learning

Part 2b - Unsupervised Learning

Topics Covered

  • What is Data Science - PPT
  • Introduction to Python Basics - PDF
  • Introduction to Python Libraries - ipynb code (Will be added at the end of session)
  • Supervised Learning - - ipynb code (Will be added at the end of session)
  • Unsupervised Learning - ipynb code (Will be added at the end of session)

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