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Python 3
Feature Engineering for KNN Stock Price Prediction

Feature Engineering

Feature Engineering

Feature Engineering

Instead of directly using all stock prices, we create two informative features.

Feature 1

Difference between opening and closing prices.

stock_data['Open_Close'] = (
    stock_data['Open']
    - stock_data['Close']
)

Feature 2

Difference between highest and lowest prices.

stock_data['High_Low'] = (
    stock_data['High']
    - stock_data['Low']
)

Explanation

These engineered features summarize daily price movement and volatility, helping the KNN model learn market behavior more effectively.

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Feature Engineering

Contents

Feature Engineering

Feature 1

Feature 2

Explanation

Stock Price Prediction for Beginners using Data Science

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