Machine Learning Workshop 3: Error Metrics скачать в хорошем качестве

Machine Learning Workshop 3: Error Metrics

Machine learning in R with caret. In this video I cover error metrics including RMSE, MAE, accuracy, kappa and AUC. This workshop will be over a number of videos and will cover a few model types, cross-validation, hyperparameter tuning, overfitting and some other topics. I ran this workshop this year and it was recorded so I thought I might as well cut it up and upload it. The video of me was very small, so it's now very low quality. And the sound is bad as well. Again, I'm working towards improving this. The code and slides can be found here. https://github.com/timcdlucas/ml_work...