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Python 3
Importing Required Libraries

Importing Required Libraries

Importing Required Libraries

Importing Required Libraries

After preparing the environment, we import the Python libraries required for building the recommendation system. These libraries provide the necessary functions for loading the dataset, preprocessing text, extracting features, and calculating similarities between news articles.

Code

import pandas as pd
import numpy as np
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity

Explanation

The imported libraries perform different tasks throughout the project.

Pandas loads and manipulates the dataset.
NumPy performs numerical computations.
TF-IDF Vectorizer converts text into numerical feature vectors.
Cosine Similarity calculates the similarity between news articles.

Output

All required libraries are imported successfully.

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Importing Required Libraries

Contents

Importing Required Libraries

Code

Explanation

Output

News Recommendation System Using Machine Learning

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