Dynamic Time Warping with Python - Complete Tutorial

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This lectures describes Dynamic Time Warping method used in data science for timeseries data analysis. This lecture is a comprehensive analysis of the Dynamic Time Warping method and it's implementation is also shown using Python programming in a jupyter notebook.

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Video Layout:
00:00:00 Introduction
00:02:42 Agenda
00:04:24 Dynamic Time Warping in Time Series Data
00:07:52 Alignment based metrics
00:10:32 What is Dynamic Time Warping
00:13:45 Understanding Dynamic Time Warping
00:16:16 Principles of Dynamic Time Warping
00:19:02 Applications of Dynamic Time Warping
00:21:33 How does Dynamic Time Warping work
00:23:52 Dynamic Time Warping Mathematical Formulation
00:26:25 Dynamic Time Warping Optimization Problem
00:28:11 Dynamic Time Warping Algorithm
00:30:09 Summary of Dynamic Time Warping Steps
00:30:42 Key Features of Dynamic Time Warping
00:31:48 Advantages of Dynamic Time Warping
00:33:42 Limitations of Dynamic Time Warping
00:35:26 Enhancements & Variations of DTW
00:37:03 Key Learnings - Dynamic Time Warping Algorithm
00:39:05 Demo - Python implementation of Dynamic Time Warping
00:53:51 Python packages for Dynamic Time Warping

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