Data Science-Unsupervised Machine Learning Using R
- 3.7
Brief Introduction
Recommender Systems, Association Rules, Dimension Reduction, Network AnalysisDescription
Data Science-Unsupervised Machine Learning Using R is designed to cover majority of the capabilities of R from Analytics & Data Science perspective,
- To be a successful data scientist one must be armed with a plethora of tools to tackle the trickiest of problems.
- Data mining, forms biggest chunk of topics that one needs to be trained on to be a good data scientist.
- The unsupervised learning which is a part of Data mining is one of the most important topics.
As a part of this course you will be introduced to a series of topics under this umbrella and will be provided with real life use cases for the same
Requirements
- Requirements
- Download R & RStudio before starting this tutorial
- Download datasets folder in zipfile which is uploaded in session 1
- While no prerequisite is required for taking up this course, however rudimentary knowledge of Basic statistics will be an added advantage