Update pages/1_Data_Card_and_Data_collection.py

pages/1_Data_Card_and_Data_collection.py

@@ -66,29 +66,7 @@ if df is not None:
 | **PurchaseIntent**       | Target variable: Intent to purchase (classification target).       | 0 (No), 1 (Yes)              |
 ''')
 
-    st.markdown("### Import Necessary Libraries:")
-    st.code("""
-    import numpy as np
-    import pandas as pd
-    import matplotlib.pyplot as plt
-    import seaborn as sns
-    import plotly.express as px
-    import warnings
-    warnings.filterwarnings('ignore')
     
-    from sklearn.linear_model import LogisticRegression
-    from sklearn.neighbors import KNeighborsClassifier
-    from sklearn.model_selection import train_test_split, cross_val_score
-    from sklearn.preprocessing import StandardScaler, LabelEncoder
-    from sklearn.metrics import accuracy_score, classification_report, confusion_matrix, log_loss
-    
-    import optuna
-    import imblearn
-    from imblearn.under_sampling import RandomUnderSampler
-    from imblearn.over_sampling import RandomOverSampler, SMOTE
-    
-    import pickle
-    """, language="python")
 
 else:
     st.info("No dataset found. Please upload a CSV file.")