Getting Started with Machine Learning | Introduction to Machine Learning, Part 4

The video shows how to use machine learning to develop a cell phone health-monitoring app. It begins by importing and exploring the data. It then discusses preprocessing the data and feature engineering, which turns the raw data into information that a machine learning algorithm can use.

The video walks through machine learning models such as decision trees and model assessment tools such as confusion matrices. It then shows how to refine and validate the model, so you can find the best model to move to a phone and start tracking.

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