Regression Analysis for Machine Learning & Predictions in R

Regression Analysis for Machine Learning & Predictions in R

What you’ll learn

  • Your comprehensive guide to Regression Analysis & supervised machine learning using R-programming language
  • It covers the theory and applications of supervised machine learning with the focus on regression analysis using the R-programming language in R-Studio
  • Implement Ordinary Least Square (or simple linear) regression, Random FOrest Regression, Decision Trees, Logistic regression and others using R
  • Perform model’s variable selection and assess regression model’s accuracy
  • Build machine learning based regression models and test their performance in R
  • Compare different different machine learning models for regression tasks in R
  • Learn how to select the best statistical & machine learning model for your task
  • Learn when and how machine learning models should be applied
  • Carry out coding exercises & your independent project assignment

How to Enroll Regression Analysis for Machine Learning & Predictions in R course?

  • To Access "Regression Analysis for Machine Learning & Predictions in R" Click on Enroll Now button at end of the post. It will redirect you to Udemy Course Page and then you can start the enrollment process.
  • If you're New to Udemy? Sign up with your email and create a password. for Existing users, log in with your credentials to access course.
  • How many members can access this course with a coupon?

    Regression Analysis for Machine Learning & Predictions in R Course coupon is limited to the first 1,000 enrollments. Click 'Enroll Now' to secure your spot and dive into this course on Udemy before it reaches its enrollment limits!

    External links may contain affiliate links, meaning we get a commission if you decide to make a purchase
    Deal Score0
    Enroll Now
    Enroll Now with 100% OFF Coupon

    Learn Data Science. Courses starting at $12.99

    New customer offer! Top courses from $14.99 when you first visit Udemy

    eLearn
    Compare items
    • Total (0)
    Compare
    0