Cryptocurrency Forecasting using Machine Learning in PowerBI

제공자:
Coursera Project Network
학습자는 이 안내 프로젝트에서 다음을 수행하게 됩니다.

Import real-time cryptocurrency data using finance API

Visualize the historical price and volume of Bitcoin & Ethereum using multiple charts & graphs

Forecast the price of Bitcoin & Ethereum using machine learning algorithms like ARIMA, Neural networks and Linear Regression

Clock1 hour
Beginner초급
Cloud다운로드 필요 없음
Video분할 화면 동영상
Comment Dots영어
Laptop데스크톱 전용

In this 1 hour long project, you will forecast the price of Bitcoin & Ethereum using multiple machine learning algorithms like ARIMA, Neural networks and Linear Regression. We will begin this project by importing real-time cryptocurrency data using finance API. We will then visualize the historical price and volume of Bitcoin using various charts & graphs. We will then forecast the price of Bitcoin using inbuilt Power BI forecasting tools. We will then import various visuals and then forecast the price of Bitcoin using machine learning algorithms like ARIMA, Neural networks and Linear Regression. In the final task, we will automate the dashboard so that you can forecast the price of any other cryptocurrencies within seconds. By the end of this project, you will be confident in forecasting any cryptocurrency or asset using Power BI. Requirement: In order to complete this project successfully, you need a professional email id (yourdomain emails) or a university email id if you are a student.

개발할 기술

  • Cryptocurrency
  • Time Series Forecasting
  • Machine Learning
  • ARIMA and Neural Networks
  • power bi

단계별 학습

작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.

  1. Project overview: Finance API key

  2. Importing Financial Data

  3. Data Visualization

  4. Forecasting using inbuilt Power BI tools

  5. Importing visuals & Installing R packages

  6. Forecasting using ARIMA & Neural Networks

  7. Dashboard Automation- Ethereum

안내형 프로젝트 진행 방식

작업 영역은 브라우저에 바로 로드되는 클라우드 데스크톱으로, 다운로드할 필요가 없습니다.

분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.

자주 묻는 질문

자주 묻는 질문

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