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Learners will learn important components used for modelling text. This includes feature representation and language modelling.
Learn more on Intermediate NLP in PythonThis course is designed to introduce learners to object orientated programming in Python.
Learn more on Introduction to object orientated programming in PythonThis is an Introduction to Natural Language Processing, and covers the main concepts around text cleaning, processing, exploring datasets, and becoming familiar with working with text based data in Python.
Learn more on Introduction to NLP in PythonIn this course you will learn about a range of machine learning topic areas. You will also learn how to perform the modelling operations using the Python programming language and the package 'scikit-learn'.
Learn more on Introduction to machine learning in PythonThe course is a series of modules exploring quality issues related to predictive modelling.
Learn more on Quality assurance of predictive modellingThis course is for producers of index numbers or people who want to understand how they are produced.
Learn more on Intermediate index numbersLoops, Control Flow and the ability to write your own functions are valuable programming tools. This short course covers and introduction to these topics and demonstrates areas for additional learning.
Learn more on Python control flow loops and functionsThis is a short course and aims to covers the practical application of editing and imputation in R.
Learn more on Editing and imputation in RThis course has been designed for beginners in the field of machine learning (ML).
Learn more on Machine learning in RThis online event will look at the importance of collaboration between policy professionals and analysts.
Learn more on Analysis skills within the Policy Profession – Workshop 3 of 4