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Python 3
Data Cleaning

Data Cleaning

Data Cleaning

Data Cleaning

Machine learning models require clean datasets.

Check for missing values.

Code

stock_data.isnull().sum()

If missing values are found, they can be removed.

stock_data = stock_data.dropna()

Explanation

Removing incomplete records helps prevent errors during model training.

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Data Cleaning

Contents

Data Cleaning

Code

Explanation

Stock Price Prediction for Beginners using Data Science

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