Practice Tools and Technologies Used Across Projects - 17.8 | 17. Case Studies and Real-World Projects | Data Science Advance
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17.8 - Tools and Technologies Used Across Projects

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Name one tool used for data cleaning.

💡 Hint: It is a popular library in Python.

Question 2

Easy

What is the purpose of Matplotlib?

💡 Hint: Think of graphs and charts.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

Which library is commonly used for data cleaning?

  • NumPy
  • Pandas
  • TensorFlow

💡 Hint: Think of data preparation.

Question 2

True or False, Plotly is a library used for data visualization.

  • True
  • False

💡 Hint: Recall the types of plots you can create.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You have a large dataset that you need to analyze using machine learning techniques. It is too big for Pandas. What strategies and tools would you employ to manage this dataset?

💡 Hint: Focus on scalability and performance.

Question 2

After deploying a model, you notice a drop in performance. What steps would you take to diagnose and rectify the issue?

💡 Hint: Evaluate possible causes of model failure.

Challenge and get performance evaluation