Cluster Analysis & Unsupervised Machine Learning in R

• 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

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