17.8 - Tools and Technologies Used Across Projects
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Practice Questions
Test your understanding with targeted questions
Name one tool used for data cleaning.
💡 Hint: It is a popular library in Python.
What is the purpose of Matplotlib?
💡 Hint: Think of graphs and charts.
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Interactive Quizzes
Quick quizzes to reinforce your learning
Which library is commonly used for data cleaning?
💡 Hint: Think of data preparation.
True or False, Plotly is a library used for data visualization.
💡 Hint: Recall the types of plots you can create.
1 more question available
Challenge Problems
Push your limits with advanced challenges
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.
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.
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Reference links
Supplementary resources to enhance your learning experience.
- Data Cleaning Techniques with Pandas
- Data Visualization with Matplotlib
- Introduction to Seaborn
- Scikit-learn Machine Learning in Python
- Getting Started with TensorFlow
- Overview of Flask Web Development
- Monitoring with Prometheus
- Getting Started with Grafana
- Hugging Face Transformers Documentation
- Introduction to Dask