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.
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Specialized Models: Time Series and Survival Analysis
IBM Skills NetworkОб этом курсе
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Попробуйте Coursera для бизнесаПриобретаемые навыки
- Dimensionality Reduction
- Unsupervised Learning
- Cluster Analysis
- Time Series
- K Means Clustering
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Программа курса: что вы изучите
Introduction to Time Series Analysis
Stationarity and Time Series Smoothing
ARMA and ARIMA Models
Deep Learning and Survival Analysis Forecasts
Рецензии
- 5 stars72,11 %
- 4 stars15,38 %
- 3 stars6,73 %
- 2 stars3,84 %
- 1 star1,92 %
Лучшие отзывы о курсе SPECIALIZED MODELS: TIME SERIES AND SURVIVAL ANALYSIS
Excellenct course.
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.
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.
Great course, very well taught and topics are useful for future applications
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