Personalized Credit Card Recommendations in Banking

Master the art of personalized credit card recommendations in banking. Learn how to leverage data science and machine learning to offer tailored credit card products, optimize approval processes, and align customer preferences with rewards...

Personalized Credit Card Recommendations in Banking

1. Business Context Materials

2.Features Required

3. Data Architecture Model

4. Data Source Structure Discovery

5. Notebook: Import libraries, Data, EDA and visualizations

6. Random Forest Algorithm

7. Notebook: Feature engineering, Train, Test Data & Predict New customerData

8. Notebook: Predict New Customer Data (cont.)

9. XGBoost Algorithm

10. Notebook: XGBoost Modelling & Hyperparameter Optimization

11. Collaborative Filtering Algorithm with Cosine Similarity

12. Notebook: Item-Based Collaborative Filtering

13. Notebook: Extend Item-Based Collaborative Filtering

Pre-requisites: Software Installations

1. MySQL Installation

2. Apache Nifi Installation

3. Anaconda & Python Installation and Configuration

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