Time-series Forecasting Using Facebook Prophet Package

Forecasting is a technique that is used for a variety of different purposes and situations such as sales forecasting, operational and budget planning etc. Similarly there are a variety of different techniques such as moving averages, smoothening, ARIMA etc to statistically make a forecast.

In this article we will talk about an open source package called “Prophet” from Facebook which takes away the complexity of other techniques without compromising on accuracy of the forecast. The guiding principle of this approach is General Additive Models (GAMs). More on which can be found over here.

Let’s look at an example of how to deploy Prophet in Python.

 

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Fundamentals of Deep Learning and Artificial Intelligence

Here are some good links that ought to give you a broader context of what is machine learning, deep learning, artificial intelligence etc.

Is machine learning learning same as deep learning?

HBR article explaining what is machine learning and deep learning

Opportunities and challenges in AI

Introduction to neural network and deep learning

Setup deep learning environment in Python

Deep learning with Keras

Free book

Tensorflow Playground

Cheers!