Introduction to Machine Learning
Have you ever thought about understanding the basic concepts of Machine Learning by doing some simple hands-on activities. In this course, we will focus on K-Means algorithm with hands on project.
Course curriculum
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Prerequisites for this course
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Notebook which we will be using in this course
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Introduction
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What is Machine Learning
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Discuss about Algorithms
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Categories of Machine Learning
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Discuss about Labels
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Unsupervised Learning
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Analogy
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Why Unsupervised Learning
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Clustering algorithms
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How K-Means works
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Scikit-learn library
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Recap
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Recap continued
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Start using sklearn library
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Visualize clusters
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Discuss Visualization code
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Identify clusters
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Initialize centroids
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Visualize centroids
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K-Means in action
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Hide code
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Complete the K-Means visualization
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Congratulations on completing this course!
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About this course
- $295.00
- 25 lessons
- 1 hour of video content
What others are saying about this course
Interesting
Daniel Kim
There wasn't a lot in the course, but there was enough to get you started or get you interested in this area
There wasn't a lot in the course, but there was enough to get you started or get you interested in this area
Read LessSmooth and easy introduction
Bao Nguyen
The introduction to machine learning in general and K-means algorithm was easy to follow
The introduction to machine learning in general and K-means algorithm was easy to follow
Read LessInteresting Course
Albert Wang
Pretty good course for an introduction to machine learning.
Pretty good course for an introduction to machine learning.
Read Less