Tag Archives: R programming training institute

Getting Started with K-Nearest Neighbor Algorithm Using R Programming

Hope, data science is treating you well. Bagging the sexiest job of this millennium is no mean feat. You always have to be on your toes to meet clients’ analytics deadline – as a result, you end up building a plethora of high-end classification models and regression models that determines customer potentialities and their purchasing pattern.

 
Getting Started with K-Nearest Neighbor Algorithm Using R Programming
 

In this blog, we will learn about what K-Nearest Neighbor Algorithm is, when it is to be used and how is it implemented using R Programming language. On the way, we will know more about the process of KNN value determination that would help in building strong predictive models.

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How R Programming is Transforming Business for Good

Today, every business is putting efforts to understand their customers and themselves, better. But, how? What methods are they applying? Do mere Excel pivot tables help analyze vast pool of data? The answer to the latter question is in the negative – Excel pivot tables are not that great at analyzing data – so a wide number of companies look forward to SAS and R Programming to cull Business Intelligence.

 
How R Programming is Transforming Business for Good
 

Besides SAS, R-Programming is another open-source language that is used by most of the budding data scientists in the world of analytics. The R Programming language is more oriented towards the correct implication of data science, while ensuring business the cutting edge data analysis tools.

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ANZ uses R programming for Credit Risk Analysis

At the previous month’s “R user group meeting in Melbourne”, they had a theme going; which was “Experiences with using SAS and R in insurance and banking”. In that convention, Hong Ooi from ANZ (Australia and New Zealand Banking Group) spoke on the “experiences in credit risk analysis with R”. He gave a presentation, which has a great story told through slides about implementing R programming for fiscal analyses at a few major banks.

 
ANZ uses R programming for Credit Risk Analysis
 

In the slides he made, one can see the following:

How R is used to fit models for mortgage loss at ANZ

A customized model is made to assess the probability of default for individual’s loans with a heavy tailed T distribution for volatility.

 

One slide goes on to display how the standard lm function for regression is adapted for a non-Gaussian error distribution — one of the many benefits of having the source code available in R.

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Introducing The New R Tools For Visual Studio

Introducing The New R Tools For Visual Studio
 

It is a great new development that the new Visual Studio now speaks the R Language!

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How is data science helping NFL players win Super bowl?!

Recently, a discussion was held, which invited data scientists and analysts all over the world, to take part in the Science of Super Bowl discussion panel, this discussion was held by Newswise.

Data Science in Super bowl

We found one notable discussion topic, which answered three very important questions related to data science that the sports industry could use:

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The Choice Between SAS Vs. R Vs. Python: Which to Learn First?

It is a well-known fact that Python, R and SAS are the most important three languages to be learnt for data analysis.

 

The Choice Between SAS Vs. R Vs. Python: Which to Learn First?

 

If you are a fresh blood in the data science community and are not experienced in any of the above-mentioned languages, then it makes a lot of sense to be acquainted with R, SAS or Python.

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How Predictive Analysis Works With Data Mining

We know that you have probably heard many times that predictive analysis will further optimize and accentuate your marketing campaigns. But it is hard to envision that in more concrete terms what it will achieve. This makes it harder to choose and direct analytics technology.

 

How Predictive Analysis Works With Data Mining

 

Wondering how you can get a functional value for marketing, sales and product directions without being an expert? The solution to all your problems lies in how predictive analytics may offer with benefits for the current marketing operations. But to use it you must learn a few specifics about how it works.

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Making a Histogram With Basic R Programming Skills

DexLab Analytics over the course of next few weeks will cover the basics of various data analysis techniques like creating your own histogram in R programming. We will explore three options for this: R commands, ggplot2 and ggvis. These posts are for users of R programming who are in the beginner or intermediate level and who require accessible and easy to understand resources.

 

Making a Histogram With Basic R Programming Skills

 

Seeking more information? Then take up our R language training course in Gurgaon from DexLab Analytics.

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Are you keeping up with R? Here are a few free PDFs and online resources

Chances are if you found your way into this blog, then you are very well familiar with R programming, it is an open-source statistical and data mining programming language. Though a relatively new id around the block it is slowly catching up to its other commercial counterparts like those of SAS and SPSS. Many data analyst even believe that R programming will eventually replace other paid languages that are currently of choice for data analysts for modelling purposes.

 

Are you keeping up with R?  Here are a few free PDFs and online resources

 

Why so?

 

The main reason we believe is solely for commercial purposes. Many organizations are already questioning the massive amount of annual cost of other commercially available data analytics tools for their statement in the P&L statements. Furthermore this ongoing trend has escalated with the presence of R as a free and feasible replacement.

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Is Data an Asset or Liability

While many firms are stating that they leverage their data to gain valuable insights and translate them into profit. But the basic question remains whether data is an asset or a liability. This is the mind-numbing question that haunts all IT managers and must be given ample concentration on what is collected in terms of data and how can it be managed efficiently.

 

Is data an asset or liability

 

There can be two approaches to answer this question, the first being that data could be an asset if used ethically and correctly. But when no actionable insight can be gathered from data, it is a liability in the same lines as an old non-performing loan. Optimum use of data is elemental to the operations of any data driven initiative. The main reason behind this data-drive remains to be to obtain faster and better decision making abilities with more accuracy. Nowadays organizations across the board leverage their data to achieve their goals. Currently sales organizations are the frontrunners who mine their data to get the best results and maximize their revenue from already customers. Also crediting companies use their data to evaluate the risks associated with different individual debtors and then act accordingly when setting rates and fees for their loans that seem to be fair based on this information. In these scenarios the companies use real information to make decisions.

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