If you're searching for a two or three word term you need to put it in quotation marks e.g. "analysis function".
The course is a series of modules exploring quality issues related to predictive modelling.
Learn more on Quality assurance of predictive modellingThis course covers editing (finding and correcting errors in data) and imputation (estimating values for missing or inconsistent data).
Learn more on Awareness in editing and imputationIn 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 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 PythonThis is the second event from the Office for National Statistics, on the Household Costs Indices and how to use them.
Learn more on Using our inflation data to understand different households’ cost of livingJoin colleagues from Ministry of Justice (MoJ) to learn about how innovation often involves migrating existing services that are already being used by multiple users.
Learn more on Navigating migration projects: strategiesJoin the Valuation Office Agency (VOA) for a session that will demonstrate a semi-automated approach of correlating VOA Non-Domestic Property Rates with the Experian Goad Retail Unit Data.
Learn more on Geospatial analysis and data linkage: building correlation relationshipsThe final Data Science: Ethics & Society Reading Group session of 2023 will be discussing Escape from Model Land: How Mathematical Models Can Lead Us Astray and What We Can Do About It, by Dr Erica Thompson.
Learn more on Escape from Model Land – Data Ethics and Society Reading GroupThis is the final panel session supporting the Office for Statistics Regulation Review of the Code of Practice for Statistics.
Learn more on Futureproofing the Code of Practice – Changing user demands for dataThis session will explore how colleagues from the Ministry of Justice (MoJ) and the Department for Levelling Up, Housing and Communities (DLUHC) worked together to develop a Reproducible Analytical Pipeline (RAP) for their offending and repeat homelessness projects.
Learn more on Analysis without data