Math 130C: Stochastic Processes
Math 112A: Partial Differential Equations
Math 290C: Calculus of Variation
Mentoring Kaggle machine learning competition
During summers and winter break, I will be dedicated to mentor (a few) students in the Kaggle machine learning competition: general cross-validation and data analysis, Python workflow, advanced tricks in Pandas, how to write quality code and debug complex Python scientific computing codes, etc. If you are interested, please contact me near the end of a semester.
Kaggle in-class competitions
To get started with competing with data scientists from all over the world, taking a class and then participating an in-class Kaggle competition is a great way to learn and practice. Here is a list of in-class competitions I have hosted in the past.
Some project guideline:
Jane Street Market Prediction Competition Dec 2020
Los Alamos National Lab Earthquake Prediction Competition June 2019
Place: Bronze medal, 381 out of 4516 teams; Student mentored: Ziteng Pang, currently a grad student at UMich.