How Banks Prevents Loan Defaults Using Data Science | Data Science Application In Banking
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About the Session-
Data science is a versatile field that uses scientific methods, algorithms, and other systems to obtain insights and knowledge from raw data. Data science applies the extracted knowledge to create an efficient system across varied applications.
Data science helps the various patterns of transactions to find out if any misbehavior exists in them, either by the server or by the customer; this is helping out the banking and financial firms to have a cross-checked status of their security.
What You Will Learn in the Workshop?
1. Performing Data Import from Various Sources
2. Performing EDA Operations such as Missing Value, Locating Outliers, and Noise Removal
3. Performing Data Manipulation (Optional)
4. Implementing Data Visualization
5. Integrating ML Concepts for Prediction of Loan Defaults
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