#Programming #Python #machinelearning #ai #stocks #predictions
In this video, we’ll load the stock data, prep it for machine learning, train a linear regression model, evaluate how well it performs,
and then generate a clean forecast plot showing the next 30 days of predicted prices.
This is a perfect beginner‑friendly ML project for anyone getting into Python, finance, or algorithmic trading. So, let’s get coding.
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.
Website that I am programming on:
colab.research.google.com
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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 Simple Steps To Becoming Financially Whole:
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2026/01/03
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