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Getting Started with Machine Learning in Python

Learn the fundamentals of supervised learning by using scikit-learn.
George Boorman
George Boorman

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Learn the fundamentals of supervised learning by using scikit-learn to make predictions about bank loans! You’ll discover how to build classification models that can predict loan application outcomes, as well as regression models to predict loan applicant salaries.

Learning by doing is encouraged, and you can follow along using DataLab. All you need is a DataCamp account. Note that members of some enterprise groups do not yet have access to use DataLab. Create a free DataCamp account with your personal email address to follow along.

We recommend that you have taken the following course before attending:

Key takeaways

  • The importance of exploratory data analysis before performing supervised machine learning.

  • How to preprocess data for input to a machine learning model.

  • How to build and evaluate a classification model to predict loan application outcomes.

Tematy

Data ScienceMachine LearningPythonData Scientist

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Samouczek

Introduction to Machine Learning in Python

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