The R language is a powerful open source functional programming
language. At its core, R is a statistical programming language that
provides impressive tools for data mining and analysis. It enables you
to create high-level graphics and offers an interface to other
languages. This means R is best suited to producing data and visual
analytics through customization scripts and commands, instead of the
typical statistical tools that provide tick boxes and drop-down menus
This video course explores data mining techniques, showing you how to
apply different mining concepts to various statistical and data
applications in a wide range of fields. We will teach you about R and
its application to data mining, and give you relevant and useful
information you can use to develop and improve your applications. It
will help you complete complex data mining cases and guide you through
handling issues you might encounter during projects.
About The Author
Pradeepta Mishra is a data scientist, predictive modeling
expert, deep learning and machine learning practitioner, and an
econometrician. He is currently leading the data science and machine
learning practice for Ma Foi Analytics, Bangalore, India. Ma Foi
Analytics is an advanced analytics provider for Tomorrow's Cognitive
Insights Ecology, using a combination of cutting-edge artificial
intelligence, proprietary big data platform, and data science expertise.
He holds a patent for enhancing planogram design for the retail
industry. Pradeepta has published and presented research papers at IIM
Ahmedabad, India. He is a visiting faculty at various leading B-schools
and regularly gives talks on data science and machine learning.
Pradeepta has spent more than 10 years in his domain and has solved
various projects relating to classification, regression, pattern
recognition, time series forecasting, and unstructured data analysis
using text mining procedures, spanning across domains such as
healthcare, insurance, retail and e-commerce, manufacturing, and so on.