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Python 3
Cleaning the Dataset

Cleaning the Dataset

Cleaning the Dataset

Cleaning the Dataset

After identifying missing values and duplicate records, the next step is to clean the dataset. Removing incomplete or repeated records improves the quality of the recommendation system.

Code

news = news.dropna()
news = news.drop_duplicates()

Explanation

dropna() removes rows containing missing values.
drop_duplicates() removes duplicate news articles.

Output

A cleaned dataset is generated and is ready for feature selection.

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Cleaning the Dataset

Contents

Cleaning the Dataset

Code

Explanation

Output

News Recommendation System Using Machine Learning

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