Getting Started with Machine Learning in Python

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.

We will be using DataCamp Workspace. All you need is a DataCamp account. If you need help, read the Getting Started with Workspace tutorial. Note that members of some enterprise groups do not yet have access to use DataCamp Workspace. Create a free DataCamp account with your personal email address to follow along.

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

• Introduction to Statistics with Python

• Introduction to Data Visualization with Seaborn

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.

George Boorman

Curriculum Manager at DataCamp