These are the slides from workshop: Introduction to Machine Learning with R which I gave at the University of Heidelberg, Germany on June 28th 2018.
The accompanying code to generate all plots in these slides (plus additional code) can be found on my blog: https://shirinsplayground.netlify.com/2018/06/intro_to_ml_workshop_heidelberg/
The workshop covered the basics of machine learning. With an example dataset I went through a standard machine learning workflow in R with the packages caret and h2o:
- reading in data
- exploratory data analysis
- feature engineering
- training and test split
- model training with Random Forests, Gradient Boosting, Neural Nets, etc.
- hyperparameter tuning