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Time series analysis has many different objectives, depending on the field of application. These include forecasting future values of the series, extracting a signal hidden in noisy data, or basic like the change in temperature throughout the day or week or month or year.
The analysis of temporal data is capable of giving us useful insights into how a variable changes over time.
This book will teach you how to analyze and forecast time series data with the help of various statistical and machine learning models in an elaborate and easy-to-understand way!
This book is for the inquisitive minds that are looking to understand time series and time series forecasting models from scratch. At the end of this book, you will have a good understanding of time series modeling.
This book only assumes a preliminary understanding of the Python language. Although this book is self-contained, it will be useful if you have an understanding of statistical mathematics.
If you are new to either Python or Statistics, we suggest you pick up a book based on these subjects first before you embark on your journey with Time Series.