AI 路 intermediate
Machine Learning Intermediate: Models in Practice with scikit-learn
Train and evaluate real models in Python: regression, classification, metrics, cross-validation, pipelines, tuning and ensembles.
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Finish every lesson, then sign in and pass the final assessment to earn a free certificate
Module 1: Building and judging models
Questions about Machine Learning Intermediate: Models in Practice with scikit-learn
What will I learn in Machine Learning Intermediate: Models in Practice with scikit-learn?
Train and evaluate real models in Python: regression, classification, metrics, cross-validation, pipelines, tuning and ensembles. The course has 4 lessons, organised in one module: Module 1: Building and judging models.
How long does Machine Learning Intermediate: Models in Practice with scikit-learn take?
About 52 minutes in total, across 4 lessons. You can learn at your own pace and stop and continue any time.
Do I need experience to take Machine Learning Intermediate: Models in Practice with scikit-learn?
It helps to know the basics of the topic first. If you are new, start with the beginner course and come back.
Is Machine Learning Intermediate: Models in Practice with scikit-learn free?
Yes. The whole course is free and you do not need an account to learn. A free account is only needed for the final assessment and the certificate.
Do I get a certificate for Machine Learning Intermediate: Models in Practice with scikit-learn?
Yes, a free certificate of completion. Finish every lesson, sign in, and pass the 15-question final assessment with 80% or more. It is not an accredited qualification.
What should I learn after Machine Learning Intermediate: Models in Practice with scikit-learn?
The next step is Machine Learning Advanced: Neural Networks and Production.