📅 2025-06-18 — Session: Comprehensive Analysis and Improvement of ER Models
🕒 16:30–17:15
🏷️ Labels: Er Model, SQL, Normalization, Machine Learning, Data Analysis
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to analyze and improve Entity-Relationship (ER) models by completing cardinalities, identifying strong and weak entities, mapping to relational models, and normalizing tables.
Key Activities
- ER Diagram Analysis: Reviewed the Entity-Relationship Diagram (ERD), identifying strong and weak entities, and completed cardinalities.
- Relational Mapping: Mapped the ERD to a relational model, focusing on normalization and the transition to Third Normal Form (3NF).
- SQL Operations: Developed SQL queries for creating tables related to order details, user spending, and product analysis.
- AI Model Evaluation: Analyzed ROC curves, AUC, and threshold strategies for classification models, and evaluated regression trees for bias and variance.
Achievements
- Completed the analysis of ER diagrams, confirming all entities as strong and suggesting improvements for the ‘CUENTA’ table.
- Successfully mapped ER diagrams to relational models and normalized tables to 3NF.
- Developed SQL scripts for comprehensive data analysis in e-commerce and product metrics.
- Evaluated machine learning models, providing insights into parameter impacts and model evaluation strategies.
Pending Tasks
- Further refine SQL queries for more complex data analysis scenarios.
- Continue exploration of threshold strategies in classification models to optimize performance.