#Programming #Python#machinelearning #stockprediction #ai #artificialintelligence #finance #stocks
Description:
This tutorial dives into time series forecasting using Python and Facebook’s Prophet library to predict META’s stock price. In under 15 minutes, viewers learn how to clean historical data, train a model, and generate a 365-day forecast—no fluff, just code. Whether you’re a data-driven investor, a dashboard builder, or just curious about machine learning in finance, this walkthrough offers practical insights and annotated code for real-world application.
“Let’s be real—if predicting stock prices were easy, we’d all be sipping piña coladas on a private island. So take this tutorial as a tool, not a crystal ball.
That said, investors, quants, and entire companies pour billions into forecasting models… and today, we’re joining the chase.”
Features:
– Data Preparation
-Model Training
-Forecast Generation
-Visualization of Forecast
Disclaimer: The material in this video is purely for educational purposes and should not be taken as professional investment advice. Invest at your own discretion.
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📚Helpful Python Programming Books📚
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► Hands-On Machine Learning with Scikit-Learn and TensorFlow:
https://amzn.to/2AD1axD
► Learning Python:
https://amzn.to/3dQGrEB
►Head First Python:
https://amzn.to/3fUxDiO
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📚Helpful Financial Books📚
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🌟Stock Market Investing Books:
✔️The Bogleheads’ Guide to Investing
https://amzn.to/3s0icxA
✔️The Intelligent Investor
https://amzn.to/34Mj7t1
✔️A Random Walk Down Wall Street
https://amzn.to/3Bv0ghW
🌟Money Mindset Books
✔️Rich Dad Poor Dad:
https://amzn.to/3rZW6eE
✔️Get Good With Money: Ten Simple Steps To Becoming Financially Whole:
https://amzn.to/3I1UXc1
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