Name: Cluster Analysis
Rating: 5 (3 reviews)

Cluster Analysis

Clustering is one of the fundamental machine learning techniques that allows you to solve many complex problems in real life: market segmentation, anomaly detection, dimensionality reduction, revealing hidden patterns, etc.

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Intermediate

Recommended experience

14 chapters

Flexible schedule

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Learning outcomes

Modules

Testimonials

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Outcomes

Learning outcomes

Modules

Testimonials

Recommendations

Codefinity advantages

FAQs

What you will learn

Grasp the essentials of clustering, a fundamental machine learning technique.
Understand basic clustering algorithms and their applications.
Decipher the unique aspects of clustering and the variety of clustering types.
Perform clustering using K-means, Agglomerative, Mean Shift, and DBSCAN algorithms.

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Assessments13 assignments

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There are 6 modules in this course

First of all, let's understand what is clustering, why we need it, and consider some unique concepts about clustering problems. We will also look at the classification of clustering algorithms according to the principle of their work.

Now let's look at the most popular clustering algorithms in more detail: we will understand the principles of their work, look at their implementation in Python, and have some practice in solving simple tasks using these algorithms.

Finally, we will understand how to choose the best model and solve real tasks based on evaluation metrics and other validation techniques.

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Kwizera Mugisha

The teaching methodology at Codefinity is excellent, and I particularly appreciate how it has prepared me to handle real-world coding problems. Currently, I am delving into Node.js and eagerly anticipate building full-stack projects that integrate all the knowledge I have gained.

Sherry Barnes-Fox

My first course was 4 hours, I did it in a few days, "nugget-style. The instructions are very clear and easy to understand. There is even a hint to help you get the answer, and if you still cannot get the answer, then you can display the answer. I love the learning style that is used, it engages me.

Bill Wagner

I have really liked the browser-based lessons that allow me to code within the lesson. The RUN button allows me to test the code I write before submitting for a grade.

Stephanie Chan

As I went through the first course of the Python track, I liked the way the course was lay out (in easy and digestible modules) with little exercises at the end of each concept.

Daniel Chinea

I have gained a lot of practical and logical thinking skills, along with patience for myself and confidence in myself that I can learn programming.

Steve Bruening

The learning was progressive and made it easy to follow along and make progress. I could feel my skills increasing and building on each other as the course went along.

Learner reviews

5.0

3 reviews

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Showing 3 of 3 reviews

John Bertin

Reviewed on Jul 13, 2024

Well written and elucidating. Great course!

Krisztina Biró

Reviewed on Apr 24, 2024

Great lesson!

Jordan F.

Reviewed on Mar 6, 2024

A lot to digest if you aren't well versed in the material.

Recommended if you're interested in learning Python

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