Artificial Intelligence

434 learners

Non-linear Dimensionality Reduction Techniques

Unravel the complexities of non-linear dimensionality reduction by mastering t-SNE, geared towards unveiling hidden patterns in multifaceted datasets.

MatPlotLib

Numpy

Python

Scikit-learn

See path

4 lessons

13 practices

3 hours

Feature Engineering

Course details

Exploring t-SNE for Dimensionality Reduction in Machine Learning

Preview

Visualizing the Iris Dataset with t-SNE

Explore the 3D Space with t-SNE

Implementing t-SNE Visualization on Iris Dataset

Previous Course Next Course: Enigmatic Autoencoders for Dimensionality Reduction

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Senior Machine Learning Engineer

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Francisco Aguilar Meléndez

Data Scientist

+11

From our community

Hear what our customers have to say about CodeSignal Learn

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11

I love that it's personalized. When I'm stuck, I don't have to hope my Google searches come out successful. The AI mentor Cosmo knows exactly what I need.

Faith Yim

Software Engineer

+14

It's an amazing product and exceeded my expectations, helping me prepare for my job interviews. Hands-on learning requires you to actually know what you are doing.

Alex Bush

Full Stack Engineer

I'm really impressed by the AI tutor Cosmo's feedback about my code. It's honestly kind of insane to me that it's so targeted and specific.

Abbey Helterbran

Tech consultant

I tried Leetcode but it was too disorganized. CodeSignal covers all the topics I'm interested in and is way more structured.

Jonathan Miller

Senior Machine Learning Engineer

+12

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11

Non-linear Dimensionality Reduction Techniques

Course details

Unit 13 practices39 min

Unit 24 practices48 min

Unit 33 practices39 min

Unit 43 practices39 min

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Join the 1M+ learners on CodeSignal

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