Live training

Machine Learning with scikit-learn

Join us for this live, hands-on training where you will learn the basics of machine learning in Python using scikit-learn. In this session, you will explore the different types of machine learning, how to pre-process data for machine learning, and apply a supervised learning mode.

Tuesday 30 June, 12 PM EDT, 5 PM BST
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Python

What will I learn?

You will learn how to:

  • The different types of machine learning and when to use them.
  • Apply data preprocessing for machine learning including feature engineering.
  • Apply supervised machine learning models to generate predictions!

What should I prepare?

Please note, a Gmail account is required in order to use Colaboratory, a free Jupyter notebook environment. You can join the webinar from your web browser following the instructions you receive in your registration email. All required data/resources will be provided in the training.

Who should attend?

This course is open to all DataCamp Premium learners, looking to harness the power of machine learning to generate predictions. We recommend that you have taken the following course before attending:

  • Supervised Learning with scikit-learn

Adel Nehme Headshot

Adel Nehme

Data Science Evangelist

Adel is a Data Science educator, speaker, and Evangelist at DataCamp, where he has released various courses and live training on data analysis, machine learning, and data engineering. Adel is passionate about spreading data skills and data literacy throughout organizations and the intersection of technology and society. He has an MSc in Data Science and Business Analytics. In his free time, you can find him hanging out with his cat Louis.
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