English | 10 May 2021 | ASIN : B094P4HBGD | 58 pages | PDF, AZW3, EPUB | 14.58 MB

This is a short book to show the readers how to build a Time Series Model using mathematical models, Python and concepts of statistics to predict real-time air quality in a local mapped area by using open source data. The main objective of this book is to teach the readers about forecasting algorithms like SARIMAX and how to build a Python project to forecast and monitor air pollution to track personal exposure to PM 2.5. At the end of the book, you will have a good understanding of SARIMAX Algorithm to make a good forecast Particulate Matter 2.5 (PM 2.5) similar to what Sci-kit - Learn regression algorithms provide.
This book can be a foundation to build a mobile application/web application to forecast air quality.