Natural Language Processing (NLP) in R
In this introductory course, we will cover the basics of Natural Language Processing (NLP) topics.
Learn more on Natural Language Processing (NLP) in RIf you're searching for a two or three word term you need to put it in quotation marks e.g. "analysis function".
In this introductory course, we will cover the basics of Natural Language Processing (NLP) topics.
Learn more on Natural Language Processing (NLP) in RThis course is designed to introduce learners to object orientated programming in Python.
Learn more on Introduction to object orientated programming 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 modellingThe UK Office for National Statistics, Data Science Campus and United Nations Economic Commission for Europe High Leve Group for the Modernisation of Statistical Production and Services (UNECE HLG-MOS) invite you to join them for the ONS-UNECE Machine Learning Group 2021 Webinar on 19 November 2021 As machine learning revolutionises the work of national statistical […]
Learn more on ONS – UNECE Machine Learning Group 2021This 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 is a short course and aims to covers the practical application of editing and imputation in Python.
Learn more on Editing and imputation in PythonLoops, 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 course is for producers of index numbers or people who want to understand how they are produced.
Learn more on Intermediate index numbersEsther Sutherland and Ian Boreham blog about the results of an online survey asking users for their thoughts on housing statistics.
Learn more on How we listened to users to improve housing and planning statistics