Customer Spending Forecasting (Insurance Policy Case Size Prediction)

Join our comprehensive course to master the end-to-end process of predicting insurance policy case size using Apache NiFi for ETL, XGBoost, and Artificial Neural Networks (ANN). Gain practical skills with real-world banking scenarios ...

1. Business Context & Introduction

2. Data Architecture Model

3. Source System Investigation

4. MySQL Installation

5. Apache Nifi Installation

6. Anaconda, Python & Jupyter Notebook Installation

7. Data Warehouse & Datamart Creation

8. Apache Nifi: Customer, Account, ... Data warehouse Loading

9. MySQL Data Warehouse Investigation

10. Apache Nifi: Customer DataMart Loading

11. Machine Learning Model: Business Problem & Import Datasets

12. Machine Learning Model: Data Visualization & Create Training and Testing Data

13. XGBoost Algorithm Understanding

14. XGBoost Model Development

15. Artificial Neural Network (ANN) Algorithm Understanding

16. ANN Model Development

17. Packaging & Loading the trained (XGBoost & ANN) model