Bitcoin Price Prediction using Facebook Prophet

4.5
40 個評分
提供方
Coursera Project Network
在此指導項目中,您將:

Create a Facebook Prophet Machine learning model & Forecast the price of Bitcoin for the future 30 days

Learn to Visualize Bitcoin using Plotly Express

Learn to Extract Financial Data and Analyze it using Google Sheets

Clock1.5
Beginner初級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

In this 1.5-hour long project-based course, you will learn how to create a Facebook Prophet Machine learning Model and use it to Forecast the Price of Bitcoin for the future 30 days. We will begin by importing all the necessary libraries including Facebook Prophet. Then we will import our dataset and analyze it. Then we will start creating visualizations in Plotly express in order to understand the historical performance of Bitcoin. We will then prepare our data for Facebook Prophet and create a Facebook Prophet Machine learning Model. We will then fit our prepared data to the Facebook Prophet Model and command it to make a Forecast for the future 30 days. We will then Visualize the Forecast using the Prophet’s internal visualization tools and then download the Forecast data. In the final section, we will go to Google Sheets and learn to extract Financial data of Bitcoin using Google Finance. We will then import the Forecast data into Google Sheets and compare it against the actual data and evaluate the performance of the Model. Please note that although this project deals with Bitcoin and teaches to make Price predictions, it is for educational purposes only and should not be taken for a piece of Financial advice since Cryptocurrencies like Bitcoin are extremely volatile and speculative. Basic knowledge of Python programming language is recommended but even those with no prior programming experience will be able to complete this project. You will need a Google account to complete this project. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

您要培養的技能

  • Forecasting
  • Machine Learning
  • Google Sheets
  • facebook prophet
  • plotly express

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  1. Task 1 : Importing all the necessary libraries

  2. Task 2 : Importing the dataset and Analyzing it

  3. Task 3 : Data Visualization using Area graph and Violin plot

  4. Task 4 : Facebook Prophet Model Creation

  5. Task 5 : Forecasting using Facebook Prophet

  6. Task 6: Forecast Evaluation using Google Sheets

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

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