Machine Learning in R & Predictive Models | 3 Courses in 1
Supervised & unsupervised machine learning in R, clustering in R, predictive models in R by many labs, understand theory
4.45 (190 reviews)
20 341
students
7.5 hours
content
Nov 2023
last update
$13.99
regular price
What you will 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
You'll have a copy of the scripts used in the course for your reference to use in your analysis
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Related Topics
3461018
udemy ID
30/08/2020
course created date
29/12/2020
course indexed date
Angelcrc Seven
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