MSCI 723 Big Data Analytics Tut5: Cross validation, Hyper-Parameter Tuning and Learning Curves

Hello everyone, this week in the tutorial we covered model selection and evaluation. Specifically I covered the bias vs variance trade off, cross validation (using K folds), parameter tuning using grid search and pipelines and finally went over learning curves. I also presented a sample project I worked on putting all of these together which should help with your projects. Tutorial: