Live Code-Along: Predicting Hotel Booking Cancellations in Python

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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.

Key Takeaways:

• 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

Access this notebook using the following link

Access the session's slides here

Filip Schouwenaars

VP of Engineering—Workspace at DataCamp