You are going to use machine learning to try and do a better job predicting the weather. To start out, you just want to classify two weather events: "rain" or "not rain." What steps would you take to build this system?

Use a linear regression to show the trend line from "not rain" to "rain."

Input all the labeled weather data and allow the system to create its own clusters based on what it sees in the data.

Use reinforcement learning to allow the machine to create rewards for itself based on how well it predicted the weather.

Find labeled weather data, create a small training set of that data, and that set aside more data for the test set.