Book Content
chapters • 8h8m total length
1. Introduction to Time Series
2. Understanding Time-series data
3. Exponential Smoothing based Methods
4. Auto-regressive models
5. Deep learning in time-series forecasting
6. Appendix
Book
Practical Time Series Analysis
Practical Time Series Analysis will introduce you to the basic concepts of time series analysis and describe powerful yet simple techniques in Python which data scientists and data engineers would find useful in dealing with real life datasets in industrial settings. This book focuses on explaining important concepts and practical techniques to process, summarize and model time series data. Real life case studies with code snippets in Python are used to demonstrate the concepts and techniques.
Offered by
Difficulty Level
Intermediate
Completion Time
8h8m approx.
Language
English
Certification
Not available
About Course
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