Tesla Stock Price Prediction using Facebook Prophet

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Coursera Project Network
Neste Projeto Guiado gratuito, você irá:

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

Mostre essa experiência prática em uma entrevista

Clock2 hours
BeginnerRecomendado para iniciantes
CloudSem necessidade de download
VideoVídeo em tela dividida
Comment DotsInglês
LaptopApenas em desktop

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.

Requisitos

It is recommended to have a basic understanding of Python

Habilidades que você desenvolverá

Time Series ForecastingMachine LearningData Visualization (DataViz)facebook prophetplotly express

Aprender passo a passo

Em um vídeo reproduzido em uma tela dividida com a área de trabalho, seu instrutor o orientará sobre esses passos:

  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

Como funcionam os projetos guiados

Sua área de trabalho é um espaço em nuvem, acessado diretamente do navegador, sem necessidade de nenhum download

Em um vídeo de tela dividida, seu instrutor te orientará passo a passo

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Perguntas Frequentes – FAQ

Perguntas Frequentes – FAQ

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