prophet library
An End-to-End Guide on Time Series Forecasting Using FbProphet
This article was published as a part of the Data Science Blogathon. This article will implement time series forecasting using the Prophet library in python. The prophet is a package that facilitates the simple implementation of time series analysis. Implementing time series forecasting can be complicated depending on the model we use. Many approaches are available for time series forecasting, for example, ARIMA ( Auto-Regressive Integrated Moving Average), Auto-Regressive Model, Exponential Smoothing, and deep learning-based models like LSTM ( long short term memory).
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