Which classes to take for ML grad school?

I have an opportunity to take 1-2 evening classes starting in January, and the local college offers the usual set of masters and PhD-level grad classes (probability theory, mathematical stats, real analysis, etc.)

My background is in applied math, with only a limited background in statistics (one math stats class and one prob. theory class) and a weaker background in real analysis than pure math majors. What class would help me the most for grad school in ML?