Machine Learning with Scikit Learn

Join us for this 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, learn how to pre-process data for machine learning, and apply a supervised learning mode.

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.

Supervised Learning with scikit-learn

Resources

• Slides

• Session Notebook

• Solution Notebook

Adel Nehme

Data Science Evangelist at DataCamp