Hands-on learning experience
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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.
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
VP of Engineering—Workspace at DataCamp
Learn to install common tools to work with Python, including Anaconda and git.
Hands-on session: What is DataCamp Workspace, and how can you use it?
Learn how 2,500+ Businesses are using DataCamp to close their team’s skill gaps