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Unsupervised Learning in Python

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Certification

Unsupervised Learning in Python

Scikit-learn and scipy are tools that allow you to extract insights from unlabeled data by clustering, transforming and visualizing it.

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Description

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Features

This course includes

Duration

4 hours
Video Content
4 hours
Level
Intermediate
Instruction Type
Self Paced
Delivery Method
Online
Available on
Mobile, Desktop, Laptop
Accessibility
Limited Access
Language
English
Subtitles
English

Skills

Machine Learning AlgorithmsUnsupervised LearningPython ProgrammingData VisualizationData Analysis

Learning Goals

You'll be clustering companies using their stock market prices, and distinguishing different species by clustering their measurements
You'll learn about two unsupervised learning techniques for data visualization, hierarchical clustering and t-SNE
You'll learn about the most fundamental of dimension reduction techniques, "Principal Component Analysis" ("PCA")

Course Content

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Prerequisites/Requirements

Statistical Thinking in Python (Part 1)

Instructors

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Benjamin Wilson

Director of Research at lateral.io

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Course Overview

Hands-On Training, Instructor-Moderated Discussions

Post course interactions

Virtual labs

International faculty

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Course Cover

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