Practice Popular Tools and Libraries - 1.3 | 1. Introduction to Advanced Data Science | Data Science Advance
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1.3 - Popular Tools and Libraries

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What library would you use for numerical computations in Python?

💡 Hint: Think about array manipulation and mathematical functions.

Question 2

Easy

Which tool is commonly used for data visualization?

💡 Hint: Consider the importance of displaying data graphically.

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 best for data manipulation in Python?

  • Pandas
  • Matplotlib
  • Scikit-learn

💡 Hint: Think about a library used for cleaning and analyzing data.

Question 2

True or False: TensorFlow is primarily used for traditional machine learning tasks.

  • True
  • False

💡 Hint: Consider the specific tasks TensorFlow is designed to handle.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Create a predictive model using Scikit-learn that classifies whether an email is spam or not. Detail the steps taken from data preprocessing to model evaluation.

💡 Hint: Remember the importance of cleaning and splitting the data.

Question 2

Using TensorFlow, build a simple feedforward neural network for image classification. Describe the architecture and training process.

💡 Hint: Focus on defining the architecture and the necessary functions for training.

Challenge and get performance evaluation