Which of the following is a real-world application of feature engineering?
Practice Questions
Q1
Which of the following is a real-world application of feature engineering?
Image recognition
Natural language processing
Fraud detection
All of the above
Questions & Step-by-Step Solutions
Which of the following is a real-world application of feature engineering?
Step 1: Understand what feature engineering is. It is the process of using domain knowledge to select, modify, or create features (variables) that help improve the performance of machine learning models.
Step 2: Identify real-world scenarios where feature engineering can be applied. Examples include image recognition, where features like edges and colors are extracted from images.
Step 3: Consider natural language processing (NLP), where features such as word frequency or sentiment can be engineered from text data.
Step 4: Think about fraud detection, where features like transaction amount, location, and time can help identify suspicious activities.
Step 5: Conclude that feature engineering is important in these applications to enhance the accuracy and effectiveness of machine learning models.
