Bitcoin Price Prediction using Facebook Prophet

4.7
21件の評価
提供:
Coursera Project Network
このガイド付きプロジェクトでは、次のことを行います。

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ダウンロード不要
Video分割画面ビデオ
Comment Dots英語
Laptopデスクトップのみ

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.

あなたが開発するスキル

ForecastingMachine LearningGoogle Sheetsfacebook prophetplotly express

ステップバイステップで学習します

ワークエリアを使用した分割画面で再生するビデオでは、講師がこれらの手順を説明します。

  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

ガイド付きプロジェクトの仕組み

ワークスペースは、ブラウザに完全にロードされたクラウドデスクトップですので、ダウンロードは不要です

分割画面のビデオで、講師が手順ごとにガイドします

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よくある質問

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