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Module 1- Part 1- Demystifying timeseries data and modeling (Basics)
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Instructor: Pedram Jahangiry
All of the slides and notebooks used in this series are available on my GitHub page, so you can follow along and experiment with the code on your own.
Lecture Outline:
0:09 Roadmap
1:33 Key topics
4:13 What is sequence data?
6:07 Time series tasts (forecasting, classification, clustering, anomaly detection)
14:33 Time series decomposition
20:25 ACF and PACF
31:03 Stationarity and differencing
39:01 Recap
40:58 Where to find the materials
Instructor: Pedram Jahangiry
All of the slides and notebooks used in this series are available on my GitHub page, so you can follow along and experiment with the code on your own.
Lecture Outline:
0:09 Roadmap
1:33 Key topics
4:13 What is sequence data?
6:07 Time series tasts (forecasting, classification, clustering, anomaly detection)
14:33 Time series decomposition
20:25 ACF and PACF
31:03 Stationarity and differencing
39:01 Recap
40:58 Where to find the materials
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