R – Cluster Analysis & Unsupervised Machine Learning in R
Harness Power Of R for Machine Learning For Unsupervised Learning & CLustering In R and Google – With Practical Examples
What you’ll learn
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Your complete guide to unsupervised learning and clustering using R-programming language
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It covers both theoretical background of UNSUPERVISED MACHINE LERANING as well as practical examples in R and R-Studio
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Fully understand the basics of Machine Learning, Cluster Analysis & Unsupervised Machine Learning
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Highly practical data science examples related to unsupervised machine learning and clustering
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Be Able To Harness The Power Of R For Practical Data Science
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You will have a glimpse on the power of cloud computimg with Google services (i.e. Earth Engine)
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It covers a real-world application of K-means clustering for mapping tasks in UAE
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Improve your R-programming and JavaScript coding skills
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Implement Unsupervised Clustering Techniques Such As k-means Clustering and Hierarchical Clustering
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Apply your newly learned skills to your independent project
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Evaluate Model Performance & Learn The Best Practices For Evaluating Machine Learning Model Accuracy
Requirements
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Availabiliy computer and internet
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R-programming skills is NOT a requirement, but would be a plus
Who this course is for:
- The course is ideal for professionals who need to use cluster analysis, unsupervised machine learning and R in their field.
- Everyone who would like to learn Data Science Applications In The R & R Studio Environment
- Everyone who would like to learn theory and implementation of Unsupervised Learning On Real-World Data
