Episode
Post-Ignite 2022 Ep02: Train and evaluate classification models
with Ruth Yakubu, David Smith
Classification is a kind of machine learning used to categorize items into classes.
Learning objectives
- When to use classification
- How to train and evaluate a classification model using the Scikit-Learn framework
Chapters
- 00:00 - Introduction
- 03:46 - Learning Objectives
- 04:18 - What is classification?
- 07:38 - Binary classification
- 11:59 - The logistic function
- 14:18 - Classification threshold
- 16:31 - Exercise: Evaluate classification models
- 47:13 - Other performance metrics
- 58:14 - Classification report review
- 01:19:25 - Knowledge check
- 01:23:49 - Summary and conclusion
Recommended resources
Related episodes
- Full series: Learn Live: Post-Ignite 2022
Connect
- Ruth Yakubu | Twitter: @ruthieyakubu | LinkedIn: /in/ruthyakubu
- David Smith | Twitter: @revodavid | LinkedIn: /in/dmsmith
Classification is a kind of machine learning used to categorize items into classes.
Learning objectives
- When to use classification
- How to train and evaluate a classification model using the Scikit-Learn framework
Chapters
- 00:00 - Introduction
- 03:46 - Learning Objectives
- 04:18 - What is classification?
- 07:38 - Binary classification
- 11:59 - The logistic function
- 14:18 - Classification threshold
- 16:31 - Exercise: Evaluate classification models
- 47:13 - Other performance metrics
- 58:14 - Classification report review
- 01:19:25 - Knowledge check
- 01:23:49 - Summary and conclusion
Recommended resources
Related episodes
- Full series: Learn Live: Post-Ignite 2022
Connect
- Ruth Yakubu | Twitter: @ruthieyakubu | LinkedIn: /in/ruthyakubu
- David Smith | Twitter: @revodavid | LinkedIn: /in/dmsmith
Video URL
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