Introduction to Machine Learning with sklearn¶
Welcome to the workshop! In this workshop we'll be using Jupyter notebooks to learn about and practice machine learning with scikit learn framework (sklearn). We use IBM Cloud Pak for Data as a Service (CP4DaaS) to run the notebooks and build a Machine Learning model with the scikit, and we'll demonstrate AutoAI which automated the process of building machine learning models.
Agenda¶
| Topic | Description | Length |
|---|---|---|
| Welcome | Introduction to workshop | 0:10 |
| Machine Learning Overview | What is Machine Learning and How it works | 0:15 |
| Notebook: Python for ML Refresher | Refresher for primary tools used in ML | 0:20 |
| Notebook: Regression | Training your first Regression Model | 0:30 |
| BREAK | 0:15 | |
| AutoAI - Intro and Setup | Setting up your AutoAI experiment | 0:10 |
| Notebook: Classification | Training your first classification model | 0:30 |
| AutoAI - Review Results | Understanding the results of your AutoAI experiment | 0:05 |
| Summary + Survey | Review of workshop and next steps | 0:05 |
Compatability¶
This workshop has been tested on IBM Watson Studio and Cloud Pak for Data as a Service.
The notebooks use Python 3.8.