Tesla Stock Price Prediction using Facebook Prophet

4.5
23件の評価
提供:
Coursera Project Network
この無料ガイド付きプロジェクトでは、次のことを行います。

Build a Facebook Prophet Model & Forecast the stock price of Tesla 30 days into the future

Visualize data using Plotly express & Evaluate Forecast using Google Finance in Google Sheets

Automate the stock forecasting process in order to get the forecast of any of your favourite stock within seconds

この実践的な経験を面接でアピールする

Clock2 hours
Beginner初心者向け
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 build a Facebook Prophet Machine learning model in order to forecast the price of Tesla 30 days into the future. We will also visualize the historical performance of Tesla through graphs and charts using Plotly express and evaluate the performance of the model against real data using Google Finance in Google Sheets. We will also dive into a brief stock analysis of Tesla and we will discuss PE ratio, EPS, Beta, Market cap, Volume and price range of Tesla. We will end the project by automating the forecasting process in such a way that you will get the forecast of any of your favourite stock with all necessary visualization within a few seconds of uploading the data. By the end of this project, you will be confident in analyzing, visualizing and forecasting the price of any stock of your choice. Disclaimer: This project is intended for educational purpose only and is by no means a piece of Financial advice. Please consult your financial advisor before investing in stocks. 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.

必要事項

It is recommended to have a basic understanding of Python

あなたが開発するスキル

  • Time Series Forecasting
  • Machine Learning
  • Data Visualization (DataViz)
  • facebook prophet
  • plotly 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. Importing all the necessary libraries

  2. Importing the dataset from Yahoo Finance

  3. Data Visualization using Plotly express

  4. Data Preparation & Modelling

  5. Forecasting

  6. Forecast Evaluation using Google Finance in Google Sheets

  7. Conclusion-  Stock Analysis of Tesla using Yahoo Finance

  8. Automating stock forecasting- for other stocks

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

レビュー

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