In today’s lab you’ll run through introductory examples with the most common types of response variables, i.e. targets, from Deep Learning with R/Python.
3.4 🍿 Movies (binary classification)
Classify movie reviews (dataset_imdb()
) as positive or negative.
R: html, Rmd ; Python: html, ipynb
3.5 📰 Newswires (multi-class classification)
Classify news wires (dataset_reuters()
) by topic.
R: html, Rmd; Python: html, ipynb
3.6 🏠 House prices (regression)
Estimate the price of a house (dataset_boston_housing()
), given real-estate data.
R: html, Rmd; Python: html, ipynb
4.4 🍿 Overfitting and underfitting
Refine movie review classification model.
R: html, Rmd; Python: html, ipynb