tools for data science coursera week 3 quiz answers

Practice Quiz - Libraries, APIs, Data Sets, Models

1. Which library offers data structures and tools for effective data cleaning, manipulation, and analysis?

  • Scikit-learn
  • Pandas
  • Seaborn
  • Matplotlib

2. What is an API?

  • Interface
  • Data
  • Web service
  • Translator

3. What is the best way to represent the network data?

  • As a graph
  • Tabular format
  • Comma-separated values
  • In a tree-like structure

4. What is the primary purpose of the Data Asset eXchange (DAX)? Select all that apply.

  • To keep datasets that have clearly defined license and usage terms
  • To organize datasets into tables
  • To collect datasets with images only
  • To collect data sets that are high quality

5. Which of the following are machine learning models? Select all that apply.

  • Supervised Learning
  • Model training
  • Unsupervised Learning
  • Reinforcement Learning

6. Which of the following elements are used to make a model? Select all that apply.

  • Domain expertise
  • Docker
  • Kubernetes
  • Compute resources

Graded Quiz - Libraries, APIs, Data Sets, Models

7. Which library is used for machine learning?

  • NumPy
  • Matplotlib
  • Pandas
  • Scikit-learn

8. Which deep learning library in Python is used for experimentation?

  • PyTorch
  • NumPy
  • Seaborn
  • Pandas

Shuffle Q/A 1

9. Which API can be used with TensorFlow?

  • C language
  • Seaborn
  • Julia
  • Panda

10. What does T stand for in REST?

  • Transfer
  • Tensor
  • Transform
  • Transport

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