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 AnalysisRéseau de compétences IBM
À propos de ce cours
Compétences que vous acquerrez
- 5 stars72,11 %
- 4 stars15,38 %
- 3 stars6,73 %
- 2 stars3,84 %
- 1 star1,92 %
Meilleurs avis pour SPECIALIZED MODELS: TIME SERIES AND SURVIVAL ANALYSIS
I liked this course. It gives all the necessary information about classical machine learning algorithms as well as deep learning techniques
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.
Clearly explaind. I am currently working on time series forecasting and predictions. This course helped me a lot about the details of the topics.
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