[ DevCourseWeb.com ] Cluster Analysis & Unsupervised Machine Learning in R



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Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz

Language: English | VTT | Size: 1.52 GB | Duration: 3h 19m

What you'll learn

Your complete guide to unsupervised learning and clustering using R-programming language

It covers both theoretical background of UNSUPERVISED MACHINE LERANING as well as practical examples in R and R-Studio

Fully understand the basics of Machine Learning, Cluster Analysis & Unsupervised Machine Learning

Highly practical data science examples related to unsupervised machine learning and clustering

Be Able To Harness The Power Of R For Practical Data Science

You will have a glimpse on the power of cloud computimg with Google services (i.e. Earth Engine)

It covers a real-world application of K-means clustering for mapping tasks in UAE

Improve your R-programming and JavaScript coding skills

Implement Unsupervised Clustering Techniques Such As k-means Clustering and Hierarchical Clustering

Apply your newly learned skills to your independent project

Evaluate Model Performance & Learn The Best Practices For Evaluating Machine Learning Model Accuracy



Requirements

Availabiliy computer and internet

R-programming skills is NOT a requirement, but would be a plus

Description

HERE IS WHY YOU SHOULD TAKE THIS COURSE:



This course will be your complete guide to unsupervised learning and clustering using R-programming language and JavaScript.



Unlike other courses, it offers NOT ONLY the guided nstrations of the R-scripts but also covers theoretical background that will allow you to FULLY UNDERSTAND & APPLY UNSUPERVISED MACHINE LEARNING in R.



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ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)



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