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
- 5 stars72,11 %
- 4 stars15,38 %
- 3 stars6,73 %
- 2 stars3,84 %
- 1 star1,92 %
Principales reseñas sobre SPECIALIZED MODELS: TIME SERIES AND SURVIVAL ANALYSIS
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.
excellent and well explained course, especially for SARIMAX models.
Clearly explaind. I am currently working on time series forecasting and predictions. This course helped me a lot about the details of the topics.
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.
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