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. 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.
Time Series Forecasting
Data Visualization (DataViz)
Good, concise course, clear instructions! What would have made it even better was hyperparameter tuning, a session on that would be useful.
Nice Couse thanks Abhishek. I was able to understand the Prophet lib and with that I was able to make the predictions for bitcoin as well - https://www.prediction1.com/prediction/BTC
I really enjoyed this project. Beginner-friendly, clearly explained, and concise intro to FB Prophet. Thanks!
It's a very good course for those who are just started in ML(Trading). It start's from basic and I think well mantain course to automate process in the end.