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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.
Today we’re diving into the world of stock price forecasting using Python and the powerful Prophet library.
We’ll be working with Coca-Cola’s historical stock data and building a model that predicts the next 365 days of prices.
In this video, I’ll walk you through the entire pipeline step by step:
- Preparing the data for Prophet
- Training the forecasting model
- Generating predictions for the next year
- Visualizing trends and seasonality
- And finally, exporting the forecast results to a CSV file
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📚Helpful Python Programming Books📚
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► Hands-On Machine Learning with Scikit-Learn and TensorFlow:
► Learning Python:
►Head First Python:
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📚Helpful Financial Books📚
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🌟Stock Market Investing Books:
✔️The Bogleheads' Guide to Investing
✔️The Intelligent Investor
✔️A Random Walk Down Wall Street
🌟Money Mindset Books
✔️Rich Dad Poor Dad:
✔️Get Good With Money: Ten
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2025/12/12
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