Introduction to AI and Data Science

Welcome to the workshop! In this workshop we'll be using Jupyter notebooks to learn about Python3, use Python and the Pandas library to do some data visualisation, and learn about Python and data science. We use IBM Cloud Pak for Data to run the notebooks and build a Machine Learning model with the scikit learn framework, and we'll demonstrate AutoAI to build ML pipelines, deploy a model and save a notebook based on the exeperiment, and show some basic tests.

Agenda

Topic	Description	Time
Welcome	Introduction to workshop	00:10
Project setup	Setup your project for the workshop	00:20
Getting started with Python3	Learn the basics of Python	00:45
Data Visualization with Matplotlib and Seaborn	Use Matplotlib and Seaborn for data visualisation	00:30
Using Pandas DataFrames	Use a Pandas DataFrame	00:15
Build a Machine Learning Model with Scikit Learn	Build a machine learning model with Scikit Learn	00:45
Wrap Up	Review of workshop and Preview of next steps	00:10

Compatability

This workshop has been tested on IBM Watson Studio and Cloud Pak for Data as a Service

The notebooks use Python 3.7.10.