Hands-on learning experience
Companies using DataCamp achieve course completion rates 6X higher than traditional online course providers
Learn MoreIn 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
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
Companies using DataCamp achieve course completion rates 6X higher than traditional online course providers
Learn More