Bitcoin Modelling Using Data Mining Techniques: Technical Report

Abstract

In recent years bitcoin has been attracted eminent attraction all around world in the area of cryptocurrency and its unique peer to peer transaction system. Analyzing and forecasting is most common task for data scientists that helps organizations to improve there business strategies.
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\nThis report is built around the fact that in bitcoin trading and analysis, the factors underlying are basically the traditional price predictions using the data mining technique.The project aim to gather data on bitcoin, analyse and forecast in order to see the fall or rise in bitcoin price.The bitcoin Dataset used is bitcoinmarketcap. This report intend to help the reader and understand what approach and methodology used to complete different milestones.This report summarizing all the aspect used throughout this project.
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\nThis is done using different techniques and algorithm to predict and forecast the rise or fall of bitcoin with the use of Crisp-DM methodology.The techniques used in the projects are Time Series ARIMA ,Time Series( Facebook prophet API), Linear Regression and and Multiple Regression.