Stock Price Prediction in Python | Machine Learning Project for Beginners (No Experience Needed)

Описание: Learn how to build a simple Stock Price Prediction System in Python using Machine Learning (Linear Regression) — perfect for beginners with no prior AI or data science experience!
In this step-by-step tutorial, we’ll download real stock data using Yahoo Finance (yfinance), train a Linear Regression model, and visualize Actual vs Predicted prices — all in just a few lines of code.

📈 By the end of this video, you’ll understand how machine learning predicts the next-day stock closing price — and how to improve it later with more data and smarter models!

👉 What You’ll Learn:

How to download stock data using yfinance

What is Linear Regression and how it works

How to train a simple ML model in Python

Plot Actual vs Predicted stock prices

Predict tomorrow’s closing price for any company (AAPL, TSLA, MSFT, etc.)

Beginner-friendly explanation with code comments

💡 Run this project yourself!

pip install yfinance pandas numpy scikit-learn matplotlib


⚙️ Tools Used:

Python 3

VS Code / Jupyter Notebook

yfinance, pandas, scikit-learn, matplotlib

🔔 Don’t forget to Like, Subscribe, and Comment what stock you want me to predict next!


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