[IN-PERSON] Python + Machine Learning 2-Day Intensive Workshop | August 11

Machine Learning is perhaps the most powerful force in technology, and Python is the most popular language for doing it.

This workshop will introduce you to the most important Machine Learning concepts in a way that’s clear, accessible, and easy to put into action. You’ll understand how to think about and interpret Machine Learning problems and learn best practices for using the most popular Machine Learning techniques in a variety of domains.

We’ll cover Python’s major data science libraries (Numpy, Pandas, and SciKit Learn), and build to advance your skills and understanding.

This Python & Machine Learning 2-Day Intensive Workshop is the interactive and hands-on way to get started on understanding, building, and interpreting machine learning models using the Python ecosystem. You will dive head first into Python, skill up with exercises, and by the end of the day you'll know how to implement machine learning techniques on your own data.

This workshop is for beginners. No prior knowledge or experience required.

• How to use Numpy and Pandas to import and organise your data.
• The different types of machine learning problems, and when to use different methods.
• Best practices for prepping your data to make it Machine Learning ready.
• Regression Algorithms, and how to use them to predict continuous data.
• Classification algorithms, and how to use them to predict binary outcomes.
• Relative strengths and weaknesses of different Machine learning techniques.
• Best practices to make sure your models can handle data they haven’t seen before.
• Advice on future learning paths depending on your desired career goals.
• Visualise the results of your analysis.

• Install Anaconda prior to class.

Please note this workshop will be taking place in person, at our London campus:

1st Floor, The Relay Building, 114 Whitechapel High St, London, E1 7PT

Jack is a software engineer at BritishCouncil EnglishScore where he gets to build and play with all things data. He splits his time between writing code for the backend server system, building data pipelines and carrying out statistical analysis and data science investigations. In a former life he used to be a secondary school teacher in Birmingham on the TeachFirst program, and now wants to spread the word about the coolness of data and how we can all build great things.