Update README.md

README.md

@@ -13,4 +13,6 @@ Time Pattern: A clear temporal pattern exists; the fraud rate increases signific
 Correlations: Correlation analysis indicated that anonymized features V17, V14, V12 (negative correlation) and V11, V4 (positive correlation) are the strongest linear predictors of fraud.
 
 4. Baseline Model Strategy
-The data is now prepared for training. Logistic Regression was chosen as the baseline model. The strategy focuses on achieving high Recall for the fraud class, as the standard Accuracy metric is misleading due to the severe imbalance. The use of SMOTE and RobustScaler is essential to ensure the model successfully identifies the rare fraud cases.
+The data is now prepared for training. Logistic Regression was chosen as the baseline model. The strategy focuses on achieving high Recall for the fraud class, as the standard Accuracy metric is misleading due to the severe imbalance. The use of SMOTE and RobustScaler is essential to ensure the model successfully identifies the rare fraud cases.
+
+Video link to my EDA presentaion - https://drive.google.com/file/d/1T1N9ADKIbEJcNwqCmrC61p8uVzA3IpWR/view?usp=drive_link