Dive into a comprehensive video tutorial on fraud detection techniques using data science and coding. Learn how to analyze datasets, perform feature engineering, write SQL queries for training data, create and evaluate models, and interpret results. Follow along with practical examples and code demonstrations, culminating in a hands-on exercise to reinforce your understanding of fraud detection methodologies in data science.
Overview
Syllabus
Introduction
Dataset Explained
Feature Engineering
Code the SQL query for training
Create Model
Model Evaluation
Model Interpretation
Exercise for you & Conclusion
Taught by
CodeEmporium
