Learn to build targeted loan offers in banking using machine learning and collaborative filtering. Master algorithms like logistic regression, decision trees, and collaborative filtering techniques with cosine similarity and Pearson correlation ...
Targeted Loan Offers in Banking
1. Targeted Loan Offers - Business Context (FREE PREVIEW) Course Materials
2. Features Required
3. Data Architecture Model (FREE PREVIEW)
4. Source Data Description
5. DWH DB Creation
6. Notebook - Import Libraries & Data sources
7. EDA & Data Visualization
8. Notebook - Feature Engineering
9. Notebook - Logistic Regression Development
10. Notebook - Decision Tree Development
11. Random Forest Understanding
12. Notebook - Random Forest Development
13. XGBoost Understanding
14. Notebook - XGBoost Development
15. Notebook - LightGBM Development
16. Artificial Neural Network (ANN) Understanding
17. Notebook - Artificial Neural Network Development
18. Understanding of Collaborative Filtering using Cosine Similarity
19. Notebook - Item-Based Collaborative Filtering using Cosine Similarity
20. Notebook - Item-Based Collaborative Filtering using Pearson Correlation
Pre-requisite: Package Installation
1. Mastering Anaconda/ Jupyter notebook & Python Installation and Configuration
2. Apache Nifi Installati
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Bonus!