[100% Off UDEMY Coupon] – K-Means for Cluster Analysis and Unsupervised Learning in R

K-Means for Cluster Analysis and Unsupervised Learning in R

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K-Means for Cluster Analysis and Unsupervised Learning in R

The powerful K-Means Clustering Algorithm for Cluster Analysis and Unsupervised Machine Learning in R

What you’ll learn

  • Understand unsupervised learning and clustering using R-programming language

  • It covers both theoretical background of K-means clustering analysis as well as practical examples in R and R-Studio

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

  • How the K-Means algorithm is defined mathematically and how it is derived.

  • How to implement K-Means very fast with R coding: examples of real data will be provided

  • How the K-Means algorithm works in general. Get an intuitive explanation with graphics that are easy to understand

  • Different types of K-meas; Fuzzy K-means, Weighted K-means and visualization of K-Means results in R

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

  • Implementing the K-Means algorithm in R from scratch. Get a really profound understanding of the working principle

  • Learn R-programming from scratch: R crash course is included that you could start R-programming for machine learning

Requirements

  • Availabiliy computer and internet

  • 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

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