e-learning
Foundational Aspects of Machine Learning using Python
Abstract
```python
About This Material
This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.
Questions this will address
- to do
Learning Objectives
- general sklearn syntax intro
- overfit/underfit
- the need for regularization
- cross validation and a test set
- metrics and imbalance
Licence: Creative Commons Attribution 4.0 International
Keywords: Statistics and machine learning, ai-ml, elixir, jupyter-notebook, work-in-progress
Target audience: Students
Resource type: e-learning
Version: 1
Status: Draft
Prerequisites:
- Introduction to Galaxy Analyses
- Introduction to Python
- Python - Warm-up for statistics and machine learning
Learning objectives:
- general sklearn syntax intro
- overfit/underfit
- the need for regularization
- cross validation and a test set
- metrics and imbalance
Date modified: 2025-03-11
Date published: 2025-03-11
Scientific topics: Statistics and probability
External resources:
Activity log
