Bitcoin is a decentralized network and digital currency that uses a peer-to-peer system to verify and process transactions. In this article, I will introduce you to a machine learning project on Bitcoin price prediction with Python.
Recently Bitcoin has received a lot of attention from the media and the public due to its recent price hike. As Bitcoin has been viewed as a financial asset and is traded through many cryptocurrency exchanges like a stock market, many researchers have studied various factors that affect the price of Bitcoin and the patterns behind its fluctuations using various analytical and predictive methods.
Several predictive methods have been studied and compared for the task bitcoin price prediction using machine learning. In this article, I will be using the Facebook Prophet model for the task of Bitcoin price prediction using machine learning with Python.
The Facebook Prophet Library is an open-source additive regression model made available by Facebook for time-series predictions. While there is a more advanced version of the Prophet like NeuralProphet which is based on neural networks, I will be using the simplified version which uses machine learning techniques for the Bitcoin price prediction task. If you want to know more about how the Facebook Prophet template works, you can learn
Now in this section, I will take you through a machine learning project on Bitcoin Price Prediction. The first step is to download the data. Now, let’s see how to download the latest data of bitcoin prices:
There are several interpretations of the forecasts calculated by the Facebook prophet model like the current momentum for the bitcoin prices has sky-rocketed, and still, we are likely to see a very rapid increase in the prices of bitcoin.
I hope you liked this article on Bitcoin Price Prediction with Python using Machine Learning. Feel free to ask your valuable questions in the comments section below.
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