Introduction to Machine Learning (Online)
Date:
13/10/2025 - 17/10/2025
Organised by:
Instats Inc
Presenter:
Dr. Niamh Mimnagh
Level:
Entry (no or almost no prior knowledge)
Contact:
Marc Monit
marc@instats.org
Venue: Online
Description:
This hands-on, research-focused workshop teaches machine-learning workflows in R—using tidymodels and caret—to implement supervised and unsupervised methods (regularised regression via glmnet, tree-based models and xgboost, simple neural nets, clustering, PCA/t-SNE) and to handle real-data challenges like missingness, class imbalance, feature engineering, and hyperparameter tuning. Participants will leave able to run end-to-end, reproducible analyses—evaluate and compare models with appropriate metrics, produce interpretable explanations (variable importance, partial dependence, SHAP-style) and justify model choices and workflows for academic publication.
Cost:
USD833-USD489
Website and registration:
Region:
International
Keywords:
Quantitative Data Handling and Data Analysis, machine learning, R
Related publications and presentations from our eprints archive:
Quantitative Data Handling and Data Analysis