kingers Posted April 30, 2024 Report Share Posted April 30, 2024 Machine Learning with Python: Decision Trees Duration: 1h 13m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 186 MB Genre: eLearning | Language: English [/center] Decision trees are one of the most common approaches used in supervised machine learning. Building a decision tree allows you to model complex relationships between variables by mimicking if-then-else decision-making as a naturally occurring human behavior. In this course, instructor Frederick Nwanganga gives you an overview of how to collect, explore, and transform your data in preparation for building decision tree models in Python. Discover the power of decision trees, what they are, how they are built, and how they quantify impurity within a partition. Get tips from Frederick on building, visualizing, pruning, and using a decision tree in Python including classification trees and regression trees. By the end of this course, you'll be ready to start making your own models and applying them to different domains. More Infohttps://fikper.com/nkUmhdnsPT/Linkedin.Learning.Machine.Learning.With.Python-Decision.Trees.UPDATED.April.2024..zip.htmlhttps://rapidgator.net/file/198346e7ea49ad3855408f7e68875cb4/Linkedin.Learning.Machine.Learning.With.Python-Decision.Trees.UPDATED.April.2024..zipFree search engine download: Linkedin Learning Machine Learning With Python-Decision Trees UPDATED April 2024 Link to comment Share on other sites More sharing options...
Recommended Posts
Please sign in to comment
You will be able to leave a comment after signing in
Sign In Now