Wrap up

Thank you for participating in the Introduction to Machine Learning with sklearn workshop. We hope you have come away with some useful ideas and find that you can benefit from the content shared in this workshop.

Summary of the workshop

• We started with an overview of Machine Learning, to learn what it is and how it works.
• We followed that up with a quick refresher lab on Python for Machine Learning.
• We performed two additional labs where we trained and tested Machine Learning models using regression and classification algorithms.
• Finally, we used AutoAI to automatically train and compare machine learning algorithms for the input data.

Additional Resources

You can learn more about Machine Learning using these resources:

• IBM Developer (Data Science)
• IBM Developer (Artificial Intelligence)

• AI Research at IBM

• Cloud Pak for Data Resources
• Cloud Pak for Data Hub
• Watson Studio Overview
• Watson Studio Learning Center Videos
• Watson Machine Learning Docs

• Keras
• Jupyter Notebooks

Survey

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