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Home
Python 3
Importing Required Libraries

Importing Required Libraries

Importing Required Libraries
Code
Download Required NLP Resources

Importing Required Libraries

Before building any machine learning model, we need to import the required Python libraries. Each library provides tools for data manipulation, visualization, text processing, and machine learning.

Libraries Used

Pandas

Used for loading and manipulating datasets.

NumPy

Provides numerical operations.

Matplotlib

Creates visualizations and graphs.

Seaborn

Produces statistical visualizations.

Scikit-learn

Provides machine learning algorithms and evaluation metrics.

NLTK

Offers Natural Language Processing tools such as stopword removal and lemmatization.

Code

# Data manipulation
import pandas as pd
import numpy as np
# Data visualization
import matplotlib.pyplot as plt
import seaborn as sns
# Text preprocessing
import re
import nltk
from nltk.corpus import stopwords
from nltk.stem import WordNetLemmatizer
# Machine Learning
from sklearn.model_selection import train_test_split
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.linear_model import LogisticRegression
# Evaluation Metrics
from sklearn.metrics import (
accuracy_score,
classification_report,
confusion_matrix
)

Download Required NLP Resources

nltk.download('stopwords')
nltk.download('wordnet')
nltk.download('omw-1.4')

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Importing Required Libraries

Contents

Importing Required Libraries

Libraries Used

Code

Download Required NLP Resources

Fake Review Detection System using Machine Learning

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