This post serves as a discussion board for the second tab in the ML4PP course: Prediction Policy Problems.
In the Prediction Policy Problems tab of the ML4PP site there was a brief introduction to what a Prediction Policy Problem is. Furthermore, an use-case on Social Protection Policy was introduced, and we embarked on a machine learning mission: what algorithm can help us predict the prevalence of poverty in Malawi best?
Please feel free to leave a comment here if you have any questions about what constitutes a prediction policy problem, how to identify a social need for prediction, or if you have any questions about the practical applications in R or Python. As always, you can also leave a comment to suggest a date to meet up in Gather.Town with other people so you can chat in real time!
Happy coding, everyone!