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Machine Learning in R & Predictive Models |Theory & Practice

Supervised & unsupervised machine studying in R, clustering in R, predictive fashions in R by many labs, perceive principle

What you’ll be taught

  • Your full information to unsupervised & supervised machine studying and predictive modeling utilizing R-programming language
  • It covers each theoretical background of MACHINE LERANING & and predictive modeling in addition to sensible examples in R and R-Studio
  • Absolutely perceive the fundamentals of Machine Learning, Cluster Evaluation & Predictive Modelling
  • Extremely sensible information science examples associated to supervised machine studying, clustering & prediction modelling in R
  • Study R-programming from scratch: R crash course is included that you could possibly begin R-programming for machine studying
  • Be In a position To Harness The Energy of R For Sensible Knowledge Science
  • Examine totally different totally different machine studying algorithms for regression & classification modelling
  • Apply statistical and machine studying based mostly regression & classification fashions to actual information
  • Construct machine studying based mostly regression & classification fashions and check their robustness in R
  • Study when and the way machine studying & predictive fashions needs to be appropriately utilized
  • Check your abilities with a number of coding exercices and remaining undertaking that you’ll ommplement independently
  • Implement Machine Learning Strategies/Classification Such As Random Forests, SVM and many others in R

Requirements

  • Availability pc and web & robust curiosity in the subject

Who this course is for:

  • The course is good for professionals who want to make use of cluster evaluation, unsupervised machine studying and R in their area.
  • Everybody who wish to be taught Knowledge Science Functions in the R & R Studio Setting
  • Everybody who wish to be taught principle and implementation of Machine Learning On Actual-World Knowledge


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