Update README.md

Author: ArunSehrawat

README.md

@@ -1,4 +1,4 @@
-# Quantum Machine Learning (QML) Use Case with [Qiskit](https://qiskit.org/)
+# Quantum Machine Learning (QML) use cases with [Qiskit](https://qiskit.org/)
 
-__(1) Fraud_Detection_with_Qiskit:__ In the notebook, we have take Credit card fraud detection---a crucial use case in the financial industry---from [the kaggle competition](https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud).
-The data is made of 284807 normal as well as fraudulent credit card transactions. Here the task is to train a machine learning model that can classify normal and fraud transactions. In the notebook, we have shown an implementation of [Variational Quantum Classifier (VQC)](https://qiskit.org/documentation/stable/0.19/stubs/qiskit.aqua.algorithms.VQC.html#qiskit.aqua.algorithms.VQC), which is a part of the QML module of Qiskit.
+__(1) Fraud_Detection_with_Qiskit:__ In the notebook, we have take credit card fraud detection---a crucial use case in the financial industry---from [the kaggle competition](https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud).
+The data is made of 284807 normal as well as fraudulent credit card transactions. Here the task is to train a machine learning model that can classify normal and fraud transactions. In the notebook, we have given an implementation of [Variational Quantum Classifier (VQC)](https://qiskit.org/documentation/stable/0.19/stubs/qiskit.aqua.algorithms.VQC.html#qiskit.aqua.algorithms.VQC), which is a part of the QML module of Qiskit.