Now that you have an understanding of each step in the data science workflow, we'll take a look at a selection of useful Python libraries and functions within those libraries for each step.
Python libraries and functions for each stage of the data science workflow
by Michael Roman, Alexander Combs
Python Machine Learning Blueprints - Second Edition
- Title Page
- Copyright and Credits
- About Packt
- Contributors
- Preface
- The Python Machine Learning Ecosystem
- Build an App to Find Underpriced Apartments
- Build an App to Find Cheap Airfares
- Forecast the IPO Market Using Logistic Regression
- Create a Custom Newsfeed
- Predict whether Your Content Will Go Viral
- Use Machine Learning to Forecast the Stock Market
- Classifying Images with Convolutional Neural Networks
- Building a Chatbot
- Build a Recommendation Engine
- What's Next?
- Other Books You May Enjoy
Python libraries and functions for each stage of the data science workflow
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