Tesla Stock Price Prediction using Facebook Prophet
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.
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- Level Foundation
- المدة 4 ساعات hours
- الطبع بواسطة Coursera Project Network
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Offered by
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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.الوحدات
Practical Application via Rhyme
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2
Readings
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1
Plugin
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1
Lab
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1
Assignment
1
Assignment
- Graded Quiz: Test your Project understanding
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Labs
- Tesla stock price prediction using Facebook Prophet
2
Readings
- Project-based Course Overview
- Closing Reading
Auto Summary
Embark on a fascinating journey into the world of financial forecasting with the "Tesla Stock Price Prediction using Facebook Prophet" course. This engaging, 1.5-hour project-based course is designed for beginners interested in IT & Computer Science, focusing on predictive models for stock prices. Guided by Coursera, you'll learn to construct a Facebook Prophet Machine Learning model to predict Tesla's stock price 30 days into the future. The course also covers visualizing Tesla's historical performance using Plotly Express and assessing model accuracy with Google Finance data in Google Sheets. You'll delve into essential stock analysis metrics such as PE ratio, EPS, Beta, Market cap, Volume, and price range. By the end of this course, you'll master the skills to analyze, visualize, and forecast any stock's price, with automated processes enabling quick and efficient predictions. This course is available for free and is particularly beneficial for learners in North America. While this educational course provides valuable insights, it is not intended as financial advice. Always consult with a financial advisor before making investment decisions. Join this course to enhance your financial forecasting skills today!
Abhishek Jha