The lab kit of the course: https://github.com/hrhouma2/aiopsatlas-ml-data-diagnostics-labs-en
NorthPeak wants one page with the numbers. You will train the tuned forest of Exercise 2 and the logistic regression of Week 5 on January to September. Then you open October to December, once. You compute the AUC, a confusion matrix, the feature importance, and the errors by machine type and by month. You write everything to week06/results.md. After that, the test set is closed.
Preview — the rest of the lesson is for enrolled readers.
Your access is tied to your account, not to this link. Sign in with the same email you used in class: your course is waiting, no need to enter the code again.
Sign inNo account yet? Create oneThe first modules of the course are open to everyone. For the rest you have three options: buy this course once and for all, subscribe, or enter the code handed out in class.