Cover All The Machine Learning Techniques Relevant For Forecasting Problems, Ranging From Univariate And Multivariate Time Series To Supervised Learning, To State-of-the-art Deep Forecasting Models Such As Lstms, Recurrent Neural Networks, Facebook''s Open-source Prophet Model, And Amazon''s Deepar Model.rather Than Focus On A Specific Set Of Models, This Book Presents An Exhaustive Overview Of All The Techniques Relevant To Practitioners Of Forecasting. It Begins By Explaining The Different Categories Of Models That Are Relevant For Forecasting In A High-level Language. Next, It Covers Univariate And Multivariate Time Series Models Followed By Advanced Machine Learning And Deep Learning Models.