Quiz Part 1: Foundations of Machine Learning and Python
Answers
1. a) Traditional programming relies on explicit rules, while machine learning models learn patterns from data.
2. b) Predicting house prices based on features like location and size
3. c) Self-supervised learning
4. b) Federated learning
5. b) NumPy arrays are more memory-efficient and support faster numerical computations.
6. b) array.reshape((3, 2))
7. c) isnull()
8. c) plt.scatter()
9. b) It encodes categorical features as binary vectors.
10. c) Plotly
11. a) train_test_split()
12. c) Google Colab
13. a) A pair plot visualizes relationships between all pairs of features in a dataset and is useful for identifying patterns, correlations, and potential feature interactions.
Answers
1. a) Traditional programming relies on explicit rules, while machine learning models learn patterns from data.
2. b) Predicting house prices based on features like location and size
3. c) Self-supervised learning
4. b) Federated learning
5. b) NumPy arrays are more memory-efficient and support faster numerical computations.
6. b) array.reshape((3, 2))
7. c) isnull()
8. c) plt.scatter()
9. b) It encodes categorical features as binary vectors.
10. c) Plotly
11. a) train_test_split()
12. c) Google Colab
13. a) A pair plot visualizes relationships between all pairs of features in a dataset and is useful for identifying patterns, correlations, and potential feature interactions.
Answers
1. a) Traditional programming relies on explicit rules, while machine learning models learn patterns from data.
2. b) Predicting house prices based on features like location and size
3. c) Self-supervised learning
4. b) Federated learning
5. b) NumPy arrays are more memory-efficient and support faster numerical computations.
6. b) array.reshape((3, 2))
7. c) isnull()
8. c) plt.scatter()
9. b) It encodes categorical features as binary vectors.
10. c) Plotly
11. a) train_test_split()
12. c) Google Colab
13. a) A pair plot visualizes relationships between all pairs of features in a dataset and is useful for identifying patterns, correlations, and potential feature interactions.
Answers
1. a) Traditional programming relies on explicit rules, while machine learning models learn patterns from data.
2. b) Predicting house prices based on features like location and size
3. c) Self-supervised learning
4. b) Federated learning
5. b) NumPy arrays are more memory-efficient and support faster numerical computations.
6. b) array.reshape((3, 2))
7. c) isnull()
8. c) plt.scatter()
9. b) It encodes categorical features as binary vectors.
10. c) Plotly
11. a) train_test_split()
12. c) Google Colab
13. a) A pair plot visualizes relationships between all pairs of features in a dataset and is useful for identifying patterns, correlations, and potential feature interactions.