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Home
Python 3
Importing Required Libraries

Importing Required Libraries

Importing Required Libraries

Importing Required Libraries

The next step is importing the Python libraries required throughout the project.

Code

import numpy as np

import pandas as pd

import matplotlib.pyplot as plt

import seaborn as sns

from sklearn.model_selection import train_test_split

from sklearn.linear_model import LogisticRegression

from sklearn.metrics import (

accuracy_score,

precision_score,

recall_score,

f1_score,

roc_auc_score,

confusion_matrix,

classification_report

)

Explanation

Each library serves a specific purpose:

NumPy performs numerical computations.
Pandas loads and manipulates datasets.
Matplotlib creates visualizations.
Seaborn generates statistical plots.
Scikit-learn provides machine learning algorithms and evaluation metrics.

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Importing Required Libraries

Contents

Importing Required Libraries

Code

Explanation

Credit Card Fraud Detection for Beginners using Data Science

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