A guide to time series prediction using Meta’s prophet toolkit

The prophet is a toolkit or library for time series analysis that is available to us as an open-source. Utilizing this toolkit we can perform time series analysis and forecasting very easily and fast. This toolkit has various features that can make our time series analysis procedure accurate and efficient.
Time series analysis and modelling are complex procedures in the field of data science. We always find that time series modelling is a combination of different processes and time taking processes. So to reduce the time complexity in time series modelling there is always a requirement of automacy. The prophet is a toolkit that aims to provide automacy in time series modelling. In this article, we are going to discuss the prophet toolkit provided by Meta (Facebook) and how we can use it. The major points to be discussed in the article are listed below. Table of contents What is the Prophet?Implementation Loading data Importing modules Initiating model Making predictionsPlotting prediction    Let’s start with understanding what the Prophet is.
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Yugesh Verma
Yugesh is a graduate in automobile engineering and worked as a data analyst intern. He completed several Data Science projects. He has a strong interest in Deep Learning and writing blogs on data science and machine learning.
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