Quiz # 03

What is the main goal of data wrangling?

• a) Building ML models
  

• b) Cleaning and transforming raw data
  

• c) Designing UI
  

• d) Writing SQL queries

Which type of analysis helps you summarize main characteristics of a dataset using charts and statistics?

• a) Predictive analysis
  

• b) Exploratory Data Analysis (EDA)
  

• c) Regression modeling
  

• d) Data encryption

What does high variance in a model usually lead to?

• a) Underfitting
  

• b) High bias
  

• c) Overfitting
  

• d) Low accuracy on training data

• Which of the following is not a type of machine learning?
  

• • a) Supervised
    

• • b) Unsupervised
    

• • c) Reinforcement
    

• • d) Statistical

Which concept ensures that data-driven decisions are made fairly and transparently?

• a) Normalization
  

• b) Overfitting
  

• c) Data ethics
  

• d) Data visualization

What is the difference between structured and unstructured data? Give one example of each.

What is the primary purpose of feature engineering in machine learning?

• c) To evaluate model performance
  

• b) To create new input features from existing data
  

• d) To deploy models in production

• a) To visualize data
  

Which technique is commonly used to prevent overfitting in machine learning models?

• a) Cross-validation
  

• b) Data augmentation
  

• d) All of the above

• c) Feature selection
  

What is the main advantage of using ensemble methods in machine learning?

• a) They are easier to interpret
  

• b) They combine predictions from multiple models to improve accuracy
  

• d) They are faster to train

• c) They require less data
  

Which of the following is a common method for evaluating the performance of a machine learning model?

• b) Data normalization
  

• c) Data wrangling
  

• d) Feature engineering

• a) Confusion matrix