Introduction to machine learning in Python
- Open to
- Government analysts
- Training category
- Analytical, Data science
- Type of training
- Online
- Length
- 3 days
- Organiser
- Data Science Campus
- Provider
- Data Science Campus
- Location
- Online
Machine learning is becoming more integrated in modern data analysis. Before performing advanced prediction, basic concepts in machine learning modelling must be understood and applied.
In this course you will learn about a range of machine learning topic areas. You will also learn how to perform modelling operations using the Python programming language and the package “scikit-learn”.
This course is split into 5 chapters, which are usually taught over 3 to 4 days. Each of the chapters will take between 2 and 4 hours to work through. There are a series of case studies to help you gain experience of applying techniques.
Learning outcomes
On this course you will:
- learn what machine learning is
- gain an understanding of important considerations in machine learning workflows
- learn how to process data to be machine learning ready
- learn how to create simple regression models
- learn how to create simple classification models
- learn how to evaluate supervised learning models
- learn how to optimise supervised learning models
- gain an understanding of why dimension reduction is used
- learn how to perform dimension reduction techniques
How to book
Please use your Learning Hub account to access the course online.
If you do not have a Learning Hub account, please use our sign-up form.
Contact
If you would like more information about this course, please email datacampus@ons.gov.uk.