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Deepanshu Bhalla
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Deepanshu Bhalla's Blog

100 Free Tutorials to learn SAS

Posted on June 27, 2017 at 9:00am 0 Comments

The following links describe a set of free SAS tutorials which help you to learn SAS programming online on your own. It includes tutorials for data exploration and manipulation, predictive modeling and some scenario based examples.

SAS (Statistical analysis system) is one of the most popular software for data analysis. It is widely used for various purposes such as data management, data mining, report writing, statistical analysis, business modeling, applications development and data…


100 Free Tutorials for learning R

Posted on June 12, 2017 at 12:30am 0 Comments

R language is the world's most widely used programming language for statistical analysis, predictive modeling and data science. It's popularity is claimed in many recent surveys and studies. R programming language is getting powerful day by day as number of supported packages grows. Some of big IT companies such as Microsoft and IBM have also started developing packages on R and offering enterprise version of R.

Table of…


Select Important Variables using Boruta Algorithm

Posted on June 1, 2017 at 9:05am 1 Comment

This article explains how to select important variables using boruta package in R. Variable Selection is an important step in a predictive modeling project. It is also called 'Feature Selection'. Every private and public agency has started tracking data and collecting information of various attributes. It results to access to too many predictors for a predictive model. But not every variable is important for prediction of a particular task. Hence it is essential to…


Exclusive Tutorial on Data Manipulation with R (50 Examples)

Posted on February 6, 2017 at 8:00am 0 Comments

It's a complete tutorial on data wrangling or manipulation with R. This tutorial covers one of the most powerful R package for data wrangling i.e. dplyr. This package was written by the most popular R programmer Hadley Wickham who has written many useful R packages such as ggplot2, tidyr etc. It's one of the most popular R package as of date. This post includes several examples and tips of how to use dply package for cleaning and transforming data.…


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