Regression Analysis for Statistics & Machine Learning in R

100% OFF UDEMY COUPON UDEMY DISCOUNT UDEMY COURSES ACADEMICS

Coupon Online Details

Regression Analysis for Statistics & Machine Learning in R, Learn Complete Hands-On Regression Analysis for Practical Statistical Modelling and Machine Learning in R

Created by Minerva Singh

Advertisement

Baca juga:

• Regression Analysis for Statistics & Machine Learning in R
• Deep Learning Prerequisites: Logistic Regression in Python
• Time management study hacks for students.
• Complete Data Science Training with Python for Data Analysis

Preview This Course - GET COUPON CODE

What you'll learn

• Implement and infer Ordinary Least Square (OLS) regression using R
• Apply statistical and machine learning based regression models to deals with problems such as multicollinearity
• Carry out variable selection and assess model accuracy using techniques like cross-validation
• Implement and infer Generalized Linear Models (GLMS), including using logistic regression as a binary classifier
• Build machine learning based regression models and test their robustness in R
• Learn when and how machine learning models should be applied
• Compare different different machine learning algorithms for regression modelling

Requirements

• Should have prior experience of working with R and RStudio
• Should have basic knowledge of statistics
• Should have prior experience of using simple linear regression modelling
• Should have interest in building on the previous concepts to learn which regression models are applicable under different circumstances
• Should have an interest in learning the machine learning based regression models in R