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1 Credit Card Fraud Detection - About the Project
2 Step 0 - Workflow
3 Step 1 - Import the Modules
4 Importing the Modules
5 Step 2 - Load the Dataset
6 Loading the Data
7 Step 3 - Explore the Data
8 Checking for Nulls
9 Exploring the Class Column
10 Visualizing the class Imbalance
11 Understanding Class-Imbalance
12 Step 4 - Split the Data
13 Splitting the Data
14 Step 5 - Feature Scaling
15 Feature Scaling
16 Step 6 - Apply SMOTE Technique
17 Understanding SMOTE
18 Applying SMOTE technique
19 Step 7 - Build the Model
20 Training the Classification Algorithm
21 Step 8 - Evaluate the Model
22 Get Confusion matrix and Recall
23 Visualize the Confusion Matrix
24 ROC-AUC Curve
25 Summary
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