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 NetworkAbout this Course
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Try Coursera for BusinessSkills you will gain
- Dimensionality Reduction
- Unsupervised Learning
- Cluster Analysis
- Time Series
- K Means Clustering
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Syllabus - What you will learn from this course
Introduction to Time Series Analysis
Stationarity and Time Series Smoothing
ARMA and ARIMA Models
Deep Learning and Survival Analysis Forecasts
Reviews
- 5 stars72.11%
- 4 stars15.38%
- 3 stars6.73%
- 2 stars3.84%
- 1 star1.92%
TOP REVIEWS FROM 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.
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.
I liked this course. It gives all the necessary information about classical machine learning algorithms as well as deep learning techniques
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