From the Back Cover
This book explains the concepts of time series from traditional to bleeding-edge techniqueswith full-fledged examples.The book begins by covering time series fundamentals and its characteristics, the structureof time series data, pre-processing, and ways of crafting the features through datawrangling. Next, it covers the traditional time series techniques like Smoothing methods, ARMA, ARIMA, SARIMA, SARIMAX, VAR, VARMA using trending framework likeStatsModels, pmdarima. Further, Book explains the building classification models usingsktime, and covers how to leverage advance deep learning-based techniques like ANN, CNN, RNN, LSTM, GRU and Autoencoder to solve time series problem usingTensorflow. It finally concludes by explaining the popular framework fbprophet formodeling time series analysis.After completion of the book, the reader will have a good understanding of working withdifferent techniques of time series methods. All the codes presented in this notebook areavailable in Jupyter notebooks, which allows readers to do hands-on and enhance them inexciting ways.
What will you learn?
- What are the basics and advanced concepts of time series?
- How to design, develop, train, and validate time-series methodologies.
- What are smoothing, ARMA, ARIMA, SARIMA, SRIMAX, VAR, VARMA techniques in time series.
- Learn how to leverage bleeding-edge techniques such as ANN, CNN, RNN,
- LSTM, GRU, Autoencoder and fbprophet.
Who this book is for?Data scientist, Data Analyst, Financial Analysts, and Stock Market Researchers
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.
Ashish Patel is a Senior Data Scientist, AI researcher, and AI Consultant with over seven years of experience in the field of AI, Currently living in Ahmedabad(INDIA). He has a Master of Engineering Degree from Gujarat Technological University andhis keen interest and ambition to research in the following domains such as (Machine Learning, Deep Learning, Time series, Natural Language Processing, Reinforcement Learning, Audio Analytics, Signal Processing, Sensor Technology, IoT, Computer Vision). He is currently working as Senior Data Scientist for Cynet infotech Pvt Ltd. He has published more than 15 + Research papers in the field of Data Science with Reputed Publications such as IEEE. He holds Rank 3 as a kernel master in Kaggle. Ashish has immense experience working on cross-domain projects involving a wide variety of data, platforms, and technologies
