Cluster Analysis & Unsupervised Machine Learning in R
Harness Power of R for unsupervised machine Learning (k-means, hierarchical clustering) - With Practical Examples in R
4.34 (40 reviews)
4,693
students
4.5 hours
content
Nov 2023
last update
$44.99
regular price
What you will 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
Learn R-programming from scratch: R crash course is included that you could start R-programming for machine learning
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3624696
udemy ID
11/9/2020
course created date
11/15/2020
course indexed date
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