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Unsupervised Learning in Python

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$12

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Imagine that you have customers with different characteristics. For example, their location, age and financial history. You need to identify patterns and group them together. A collection of text, such as Wikipedia pages, might be available that you wish to organize into different categories according their content. Unsupervised learning refers to unsupervised learning. Unsupervised learning is the absence of supervision or guidance in pattern discovery via a prediction task. Instead, you discover hidden structures using unlabeled data. Unsupervised learning can be used to many machine learning techniques including clustering, matrix factorization, dimension reduction, and matrix factorization. This course will cover the basics of unsupervised learning and how to implement the most critical algorithms using scikit-learn/scipy. This course will show you how to analyse, cluster, transform and visualize unlabeled data, as well as extract insights. This course also contains a recommendation system, which can be used for recommending musical artists.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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Statistical Thinking in Python (Part 1)

What You Will Learn

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You'll be clustering companies using their stock market prices, and distinguishing different species by clustering their measurements

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You'll learn about two unsupervised learning techniques for data visualization, hierarchical clustering and t-SNE

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You'll learn about the most fundamental of dimension reduction techniques, "Principal Component Analysis" ("PCA")

Course Instructors

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Benjamin Wilson

Director of Research at lateral.io

Ben is a machine learning specialist and the director of research at lateral.io. He is passionate about learning and has worked as a data scientist in real-time bidding, e-commerce, and recommendatio...

Course Reviews

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5.0

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Course Cover

$12

$6

49% OFF

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