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Benefits of Certification

  • Government Certification
  • Job Credibility
  • Certification Valid for Life
  • Lifelong E-Learning Access

Description

R programming is a programming language and a software analysis instrument for graphical representation. Machine learning with R programming will take you to the deep concepts of the R programming language. This online course for R language training is based on providing technical knowledge about this programming language with the covering theory part. 

If your foundation of a programming language is strong, then this course is going to suit you as we have dedicated tutorials on it. But if you don't have any technical knowledge then also you can understand as our tutorials are short and easy to understand. You can ask for any query in between the course we will solve that instantly, so the learning process will be more interactive and you will enjoy while studying this complex language.

In this online course, you will learn about the R language where we will cover the supervised and unsupervised learning approaches. We will also dive into the statistical modelling related to machine learning for comparing available data.

What are the key highlights of the course?

  • You will get an understanding of machine learning with the R language.
  • Learn the tools to build up and evaluate real data 
  • Implementing different methods to estimate the model performance.
  • You will also learn the clustering algorithms, including k-mean,
  • making predication over the large data set.
  • Also making predictions over time series with the case study.

If you are an analyst professional or a machine learning student who wants to get strong grips on the R language. Also, data scientists can take this course to identify and analyse the data pattern of complex data sets.

Syllabus

Duration
Maximum Duration 6 Months
Syllabus
Topics Introducing Machine Learning, Managing and Understanding Data, Lazy Learning – Classification Using Nearest Neighbors, Probabilistic Learning – Classification Using Naive Bayes, Divide and Conquer – Classification Using Decision Trees and Rules, Forecasting Numeric Data – Regression Methods, Black Box Methods – Neural Networks and Support Vector Machines, Finding Patterns – Market Basket Analysis Using Association Rules, Finding Groups of Data – Clustering with k-means, Evaluating Model Performance, Improving Model Performance, Specialized Machine Learning Topics
Certification
Type Certificate

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