The lab kit of the course: https://github.com/hrhouma2/aiopsatlas-ml-data-diagnostics-labs-en
NorthPeak technicians write a short description for every incident. Someone then picks the category by hand: bearing_wear, overheating, leak, electrical or sensor_fault. You will train a model that reads the description and proposes the category. The text becomes a TF-IDF matrix. A logistic regression learns from it. You will measure it with an accuracy and a confusion matrix, like in Week 5.
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.