Public transport within the Netherlandsĭue to the further digitization of society in general, digital data have become available in large quantities (Big Data).Hotels, Bed & Breakfasts and Hostels in Nijmegen.Hotels, Bed & Breakfasts and Hostels in various cities.About MethodsNET & Nijmegen School of Management.Social Research Methods Social Research Methods.RSS04.19 Introduction to machine learning with R and R studio RSS04.19 Introduction to machine learning with R and R studio.By the end of this course, you should have a thorough understanding of how to use Machine Learning to create predictive models and solve business problems. You will also learn about decision trees and a specialized type of ML model called Support Vector Machines. The last three modules of the course will focus on advanced models of machine learning, including classification models such as logistic regression, KNN and LDA.

You will also be introduced to other advanced regression models such as Lasso and Ridge regression. Once the data is ready, you will learn how to build simple linear regression and multiple linear regression models. You will be shown how to prepare data for the analysis and how to perform a univariate analysis and bi-variate analysis to analyze the quality of data available. Next, you will learn about Linear Regression, which is the most popular machine learning model. Then you will learn about the primary functions of machine learning and different terms associated with machine learning. This will help you set up your system and also provide the prerequisites for building machine learning models. The course begins by explaining the basics of statistics, machine learning and the R programming language.

This free online course Diploma in Machine Learning with R studio explains how machine learning (ML) techniques can be used to solve business problems.

Rstudio online learning