Learn how to apply Python for machine learning by predicting music preferences. This course covers the basics of machine learning, importing datasets, using Jupyter shortcuts, preparing data, predicting outcomes, calculating accuracy, persisting models, and visualizing decision trees. The teaching method includes a tutorial format with practical examples. This course is intended for individuals interested in Python programming and machine learning concepts.
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
