Summary: Letting the Data Speak for Itself with Machine Learning
Understand how KMeans clustering works by building simple models on small datasets and evaluating their performance with techniques like the elbow method. Learn how to prepare data through imputation and scaling before developing an interactive app that applies clustering to real-world data, helping you create your own machine learning-driven dashboards.
We'll cover the following...
We'll cover the following...
We first got an idea of how clustering works. We built the simplest possible model for a tiny dataset. We ran the model a few times and evaluated the performance and outcomes for each of ...