needed_libraries.py

# for data manipulation
import sqlite3
import pandas as pd
import numpy as np

# for visualization
import matplotlib.pyplot as plt
import seaborn as sns

# for handing imbalanced data
from imblearn.over_sampling import SMOTE

# for data splitting, transforming and model training
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.compose import ColumnTransformer
from sklearn.linear_model import LogisticRegression

# for model evaluation
from sklearn.metrics import classification_report, ConfusionMatrixDisplay