Determining which intervention is most predictive of outcome in python

Question

I am new to ML and currently using Python. If I am testing a set of interventions on a certain outcome . What kind of tools/Python programs should I start learning to begin to determine which intervention (or combination of interventions) is most likely to predict a certain outcome.

Here is an example: I want to test which interventions promote recycling behavior most effectively (outcome is 'yes' or 'no' recycling)...different combinations of interventions will be used (i.e phone call, email reminder, text prompt, etc). I want to determine which of these interventions (or which combination of interventions) was most successful at promoting recycling

Thanks everyone and stay healthy!

Answer 1

"Dimensionality reduction" is the ML topic of reducing the number of features used to predict a response.

Finding correlation with pandas.DataFrame.corr helps.