Unsupervised Learning in R

Beginner
Starting at USD 39.00
4 hours duration

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

In the field of machine learning, there is often a need to identify patterns in data without the intention of making predictions. This approach is referred to as unsupervised learning. One practical application of unsupervised learning involves categorizing consumers based on their demographics and purchasing behavior to effectively implement targeted marketing strategies. Another scenario involves understanding the underlying factors that contribute to variations in crime rates among different cities. This course offers a fundamental introduction to clustering and dimensionality reduction techniques in R, specifically from a machine learning standpoint. The objective is to equip you with the necessary skills to efficiently derive meaningful insights from data. By mastering these techniques, you will be able to navigate from raw data to valuable knowledge in a streamlined manner.

About Provider

DataCamp
DataCamp
Online Education Provider ยท 410 courses
Description
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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