This course introduces you to additional topics in Machine Learning that complement essential tasks, including forecasting and analyzing censored data. You will learn how to find analyze data with a time component and censored data that needs outcome inference. You will learn a few techniques for Time Series Analysis and Survival Analysis. The hands-on section of this course focuses on using best practices and verifying assumptions derived from Statistical Learning.
Specialized Models: Time Series and Survival AnalysisHabilidades en redes de IBM
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Habilidades que obtendrás
Habilidades en redes de IBM
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- 5 stars73 %
- 4 stars14 %
- 3 stars7 %
- 2 stars4 %
- 1 star2 %
Principales reseñas sobre SPECIALIZED MODELS: TIME SERIES AND SURVIVAL ANALYSIS
It is a good course to build foundation on the modeling of timerseries data. It will be good to add other lessons for anomaly detection on timeseries.
excellent and well explained course, especially for SARIMAX models.
I liked this course. It gives all the necessary information about classical machine learning algorithms as well as deep learning techniques
I could experience so many methodologies.
So tough to finish each project.
I really thank IBM and Coursera for this great course with just so small tuition fee.
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