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with Kesha Williams
Learn about the machine learning lifecycle and the steps required to build systems in this hands-on course.
Introduction to AI foundations: Machine learning course
Reviewing the course scenarios
Exploring machine learning
Examining how machines learn
Breaking down the machine learning lifecycle
Framing machine learning problems
Identifying a pre-built model
Understanding tools used to train a model
Obtaining data
Visualizing and understanding data
Understanding feature engineering
Demo: Performing feature engineering
Understanding learning algorithms and model training
Exploring learning algorithms for classification
Reviewing learning algorithms for regression
Examining additional learning algorithms
Training a custom machine learning model
Demo: Training a custom machine learning model
Exploring common classification metrics
Understanding the confusion matrix
Exploring common regression metrics
Determining feature importance
Combating bias
Structuring a machine learning pipeline
Demo: Designing and building a pipeline
Your machine learning journey