Description
Chapter 1: Time Series and its Characteristics
Chapter 2: Data Wrangling and Preparation for Time Series
Chapter 3: Smoothing Methods
Chapter 4: Regression Extension Techniques for Time Series
Chapter 5: Bleeding Edge Techniques
Chapter 6: Bleeding Edge Techniques for Univariate Time Series
Chapter 7: Bleeding Edge Techniques for Multivariate Time Series
Chapter 8: Prophet
Author: B. V. Vishwas, Ashish Patel
Publisher: Apress
Published: 09/22/2020
Pages: 407
Binding Type: Paperback
Weight: 1.31lbs
Size: 9.21h x 6.14w x 0.87d
ISBN13: 9781484259917
ISBN10: 1484259912
BISAC Categories:
- Computers | Languages | Python
- Computers | Programming | Open Source
- Computers | Artificial Intelligence | General
About the Author
Vishwas B V is a Data Scientist, AI researcher and Sr. AI Consultant, Currently living in Bengaluru(INDIA). His highest qualification is Master of Technology in Software Engineering from Birla Institute of Technology & Science, Pilani, and his primary focus and inspiration is Data Warehousing, Big Data, Data Science (Machine Learning, Deep Learning, Timeseries, Natural Language Processing, Reinforcement Learning, and Operation Research). He has over seven years of IT experience currently working at Infosys as Data Scientist & Sr. AI Consultant. He has also worked on Data Migration, Data Profiling, ETL & ELT, OWB, Python, PL/SQL, Unix Shell Scripting, Azure ML Studio, Azure Cognitive Services, and AWS.