Introduction to Machine Learning in Python

Duration: 2 half days or 1 full day

Pre-requisites: A basic understanding of Python. You will need to know how to write a for loop, if statement, use functions, libraries and perform basic arithmetic.

This one-day course introduces researchers to machine learning using Scikit Learn in Python.

You’ll explore key machine learning techniques including regression, clustering, dimensionality reduction, and neural networks. We’ll work with Scikit Learn throughout, giving you hands-on experience with this widely-used Python library.

The course also covers the ethics and implications of machine learning, helping you consider the broader impact of these technologies.

This course provides a foundation for applying machine learning methods in your research.

Training materials: https://southampton-rsg-training.github.io/machine-learning-novice-sklearn/01-introduction.html