Learn machine learning with Python in this comprehensive tutorial that guides you through predicting music preferences. Explore essential concepts, tools, and libraries while working on a real-world problem. Master data preparation, model training, accuracy calculation, and decision tree visualization. Gain practical experience with Jupyter notebooks and discover how to persist trained models for future use.
Overview
Syllabus
Introduction.
What is Machine Learning? .
Machine Learning in Action .
Libraries and Tools.
Importing a Data Set.
Jupyter Shortcuts.
A Real Machine Learning Problem .
Preparing the Data.
Learning and Predicting.
Calculating the Accuracy.
Persisting Models.
Visualizing a Decision Tree.
Taught by
Programming with Mosh
