Live training

Predicting Hotel Booking Cancellation Rates in Python

In this live training, we will build a machine learning model to predict whether or not a customer will cancel a hotel booking. We will walk through all steps of the machine learning process, from importing the data over preprocessing the data up to training a model and evaluating its performance. Filip will provide a template workspace for you so you can easily follow along as he’s coding up the model.

Wednesday, June 15th, 11:00 AM ET
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Python

What will I learn?

You will learn how to:
  • Familiarize yourself with the different steps in building a classification model.
  • How to import data using pandas and explore it using plotly
  • How to preprocess data and train a classification model on it using scikit-learn
  • Calculate and assess the performance of a classification model

What should I prepare?

The code-along will be done in DataCamp Workspace, so no downloads or installs are required. Registering on DataCamp before the session is recommended. (A free account is sufficient.)

Who should attend?

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

  • Supervised Learning with scikit-learn
  • Introduction to Data Visualization with Plotly in Python

Presenter Bio

Filip Schouwenaars Headshot

Filip Schouwenaars

VP of Engineering - Workspace

Filip is the passionate developer behind several of DataCamp's most popular Python, SQL, and R courses. Currently, Filip leads the development of DataCamp Workspace. Under the motto 'Eat your own dog food', he uses the techniques DataCamp teaches its students to understand how users learn on and interact with DataCamp. Filip holds degrees in Electrical Engineering and Artificial Intelligence.
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