Applied Machine Learning 2019 Lecture 02 Version Control And Testing

Summary

Hi and welcome back to part two of Gradient boosting and "extreme" gradient boosting Calibration curves and calibrating classifiers with CalibratedClassifierCV. Grid Search, Randomized Search Bayesian Optimization, SMBO Successive halving, hyperband auto-sklearn Freely borrowed ... Yeah there's some um small things I want just to say which may not have been discussed in civilized Introduction to neural networks Autograd GPU acceleration Deep Feature importance measures, partial dependence plots. Univariate and multivariate feature selection, recursive feature selection. Great okay so here is the example player that we've a lot of people have been using already so we're gonna clone it with pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData ...