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 AnalysisIBM Skills Network
About this Course
Skills you will gain
- 5 stars72.81%
- 4 stars14.56%
- 3 stars6.79%
- 2 stars3.88%
- 1 star1.94%
TOP REVIEWS FROM SPECIALIZED MODELS: TIME SERIES AND SURVIVAL ANALYSIS
excellent and well explained course, especially for SARIMAX models.
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.
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.
This is an excellent course covering large areas of Time Series analysis and is a must for any one intending to learn the topics with some detail.
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