Podcast
Questions and Answers
What is the problem statement for the project?
What is the problem statement for the project?
The problem statement is to predict fraudulent credit card transactions using machine learning models.
Where was the dataset collected from?
Where was the dataset collected from?
The dataset was collected from the Kaggle website.
How many transactions are there in the dataset?
How many transactions are there in the dataset?
The dataset contains a total of 284,807 transactions.
Why is it important to handle the imbalance in the dataset before model building?
Why is it important to handle the imbalance in the dataset before model building?
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Why is credit card fraud detection using machine learning considered a necessity in the banking industry?
Why is credit card fraud detection using machine learning considered a necessity in the banking industry?
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What is the total number of transactions in the dataset?
What is the total number of transactions in the dataset?
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Why is handling the imbalance in the dataset important before model building?
Why is handling the imbalance in the dataset important before model building?
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What is the estimated worldwide banking fraud amount by 2020 according to Nilson report?
What is the estimated worldwide banking fraud amount by 2020 according to Nilson report?
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Why is retaining high profitable customers a primary business goal for many banks?
Why is retaining high profitable customers a primary business goal for many banks?
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What is the source of the dataset used for credit card fraud detection in this project?
What is the source of the dataset used for credit card fraud detection in this project?
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