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Exploring the Essential Features of “Cluster Analysis & Unsupervised Machine Learning in R“
What you’ll learn
Your complete guide to unsupervised learning and clustering using the R-programming language.
- Gain theoretical knowledge and practical examples in R and R-Studio.
- Fully understand the basics of Machine Learning, Cluster Analysis & Unsupervised Machine Learning.
- Engage in highly practical data science examples related to unsupervised machine learning and clustering.
- Harness the power of R for practical data science.
- Explore the potential of cloud computing with Google services, specifically Earth Engine.
- Apply unsupervised clustering techniques such as k-means clustering and hierarchical clustering.
- Improve your R-programming and JavaScript coding skills.
- Implement learned skills in real-world applications, including a project involving K-means clustering for mapping tasks in the UAE.
- Evaluate model performance and learn best practices for assessing machine learning model accuracy.
Requirements
- Availability of a computer and internet.
- R-programming skills are not a requirement, but they would be a plus.
Description
WHY TAKE THIS COURSE:
This comprehensive guide covers unsupervised learning and clustering using the R-programming language and JavaScript. Unlike other courses, it not only provides guided demonstrations of R-scripts but also delves into the theoretical background, enabling a complete understanding and application of unsupervised machine learning in R.
Save time and money with this course as it covers all aspects of practical and highly applied data science related to unsupervised machine learning and clustering techniques. In the age of big data, proficiency in R and Google Cloud Computing Services is a valuable skill. This course equips you with the knowledge to give your company a competitive edge and boost your career.
WHAT THIS COURSE OFFERS:
This course comprises 8 sections covering every aspect of unsupervised machine learning, from theory to practice.
- Fully understand the basics of Machine Learning, Cluster Analysis & Unsupervised Machine Learning.
- Harness applications of unsupervised learning (cluster analysis) in R and with Google Cloud Services.
- Machine Learning, Supervised Learning, Unsupervised Learning in R.
- Complete two independent projects on Machine Learning in R and using Google Cloud Services.
- Implement Unsupervised Clustering Techniques (k-means Clustering and Hierarchical Clustering, etc.).
NO PRIOR R OR STATISTICS/MACHINE LEARNING/R KNOWLEDGE REQUIRED:
Start by absorbing the most valuable R Data Science basics and techniques. The course uses easy-to-understand, hands-on methods to simplify even the most challenging concepts in R.
Please see the full list of alternative group-buy courses available here: https://lunacourse.com/shop/
