Our next speaker is Dr Anastasia Ushakova. She has a PhD in Computational Social Science from UCL and is passionate about both development and application of statistical methods as well as promoting those to a new generation of applied researchers.
During the workshop, we will look at an overview of a set of models that can be used in R for prediction or classification tasks. These will include linear and logistic models, tree methods, neural networks and other common machine learning/data science tools.
The packages ‘caret’ and ‘parsnip’ will be introduced to fit the models, compare the performance and provide quick visualisations for the overall assessment. This workshop will be useful for both an industry and an academic audience that are interested with predictive analytics and wish to get hands on practice in model fitting in R.