- Why is it important to encode categorical features?
- What are the different ways to stop a decision tree calculation?
- Temperature_hot has an entropy value of one in the example. Why?
- Following the diagram of the decision tree at the beginning of the Understanding supervised learning with decision trees section, what would be the path to decide whether or not to train outside? Consider using IF statements.
- Would the cluster distribution change if we choose different starting points? You can read about this in the recommended articles.
- Is the clustering that's obtained with iterative analysis the same as the one that's determined visually? Why?
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You're reading from Hands-On Machine Learning with Microsoft Excel 2019
Julio Cesar Rodriguez Martino is a machine learning (ML) and artificial intelligence (AI) platform architect, focusing on applying the latest techniques and models in these fields to optimize, automate, and improve the work of tax and accounting consultants. The main tool used in this practice is the MS Office platform, which Azure services complement perfectly by adding intelligence to the different tasks.
Julio's background is in experimental physics, where he learned and applied advanced statistical and data analysis methods. He also teaches university courses and provides in-company training on machine learning and analytics, and has a lot of experience leading data science teams.
Read more about Julio Cesar Rodriguez Martino
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Julio Cesar Rodriguez Martino is a machine learning (ML) and artificial intelligence (AI) platform architect, focusing on applying the latest techniques and models in these fields to optimize, automate, and improve the work of tax and accounting consultants. The main tool used in this practice is the MS Office platform, which Azure services complement perfectly by adding intelligence to the different tasks.
Julio's background is in experimental physics, where he learned and applied advanced statistical and data analysis methods. He also teaches university courses and provides in-company training on machine learning and analytics, and has a lot of experience leading data science teams.
Read more about Julio Cesar Rodriguez Martino