Course
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Machine Learning with Python
K-Means Clustering in Python
Learn how to deploy the k-means clustering algorithm. We'll use these to segment customers into separate clusters which will allow the associated business to tailor its responses to these customers.
2 HOURS
Advanced
7 Lessons
CPE/CPD & NASBA ACREDITED
Learning Outcomes
Understand the applications of k-means clustering
Understand how k-means segments data
Running a k-means model
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What’s Included
7 Lessons
Course Introduction
3 MINS
LESSON
Course Introduction
Exercise
In this lesson, we get a preview of the course ahead.
What is Clustering
5 MINS
LESSON
What is Clustering
Exercise
In this lesson, we learn about unsupervised learning and clustering.
What is K-Means Clustering
6 MINS
LESSON
What is K-Means Clustering
Exercise
In this lesson, we learn about k-means clustering and how it segments data points into distinct clusters.
Preparing the Data
9 MINS
LESSON
Preparing the Data
Exercise
In this lesson, we explore our data and prepare it for k-means clustering.
Visualizing the Data
5 MINS
LESSON
Visualizing the Data
Exercise
In this lesson, we'll learn how to determine the number of clusters by visualizing our data in a scatter matrix.
Running the Model
9 MINS
LESSON
Running the Model
Exercise
In this lesson, we'll learn how to build a k-means model in Python.
Expanding the Model
#.## MINS
LESSON
Expanding the Model
Exercise
In this lesson, we'll learn how to determine the number of clusters when we have more than 2 data features.
LESSON
Exercise
LESSON
Exercise
LESSON
Exercise
LESSON
Exercise
LESSON
Exercise
Certifications
Earn a certificate with every exam you complete. All successful course completions are recognized by CPD, CPE, and NASBA. As your team gains confidence, skill, and speed, your firm becomes more competitive.
Earn cPE / CPD Credits
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