Free Certification Course Title: Machine Learning & Predictive Models in R |Theory & Practice

Learn applied machine learning models , cluster analysis & predictive modelling in R by many examples, understand theory

Machine Learning & Predictive Models in R |Theory & Practice

Requirements:

  • Availability computer and internet & strong interest in the topic

What you’ll learn:

  • Your complete guide to unsupervised & supervised machine learning and predictive modeling using R-programming language
  • It covers both theoretical background of MACHINE LERANING & and predictive modeling as well as practical examples in R and R-Studio
  • Fully understand the basics of Machine Learning, Cluster Analysis & Predictive Modelling
  • Highly practical data science examples related to supervised machine learning, clustering & prediction modelling in R
  • Learn R-programming from scratch: R crash course is included that you could start R-programming for machine learning
  • Be Able To Harness The Power of R For Practical Data Science
  • Compare different different machine learning algorithms for regression & classification modelling
  • Apply statistical and machine learning based regression & classification models to real data
  • Build machine learning based regression & classification models and test their robustness in R
  • Learn when and how machine learning & predictive models should be correctly applied
  • Test your skills with multiple coding exercices and final project that you will ommplement independently
  • Implement Machine Learning Techniques/Classification Such As Random Forests, SVM etc in R

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

THIS COURSE HAS 8 SECTIONS COVERING EVERY ASPECT OF MACHINE LEARNING: BOTH THEORY & PRACTISE

  • Fully understand the basics of Machine Learning, Cluster Analysis & Prediction Models from theory to practice
  • Harness applications of supervised machine learning (classification and regressions) and Unsupervised machine learning (cluster analysis) in R
  • Learn how to apply correctly prediction models and test them in R
  • Complete programming & data science tasks in an independent project on Supervised Machine Learning in R
  • Implement Unsupervised Clustering Techniques (k-means Clustering and Hierarchical Clustering etc)
  • Learn the basics of R-programming
  • Get a copy of all scripts used in the course
  • and MORE
  • 6.5 hours on-demand video
  • 20 downloadable resources
  • Certificate of completion

How to Subscribe For Machine Learning & Predictive Models in R |Theory & Practice?

  1. Sign Up on Udemy.com
  2. Subscribe Here(Machine Learning & Predictive Models in R |Theory & Practice): Click Here

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