Supervised & unsupervised machine learning in R, clustering in R, predictive models in R by many labs, understand theory
What you'll learn In this course:
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 exercises and final project that you will implement independently
Implement Machine Learning Techniques/Classification Such As Random Forests, SVM etc in R
Udemy course :https://www.udemy.com/course/machine-learning-predictive-models-in-r-theory-practice/?couponCode=JANUARY09