Rstudio OverView we have 4 panes1) script pan - to write and save the programing script2) Console pane - where all the code will get executed3) Environment/history pane - displays all the variables created,functionsused with in the current session4) Helper pane - contains multiple tabs to install/display pacakges,... [Read more...]

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As part of tutorial series on Data Science with R from Data Perspective, this first tutorial introduces the very basics of R programming language about basic data types in R.What we learn:Assignment OperatorNumericIntegerComplex numberlogicalCharacterFactorVectorData FrameAfter the end of the chapter, you are provided with R console so that ... [Read more...]

As R programming language becoming popular more and more among data science group, industries, researchers, companies embracing R, going forward I will be writing posts on learning Data science using R. The tutorial course will include topics on data types of R, handling data using R, probability theory, Machine Learning, ... [Read more...]

In the series of implementing Recommendation engines, in my previous blog about recommendation system in R, I have explained about implementing user based collaborative filtering approach using R. In this post, I will be explaining about basic implementation of Item based collaborative filtering recommender systems in r. Intuition:Item based ... [Read more...]

Recently I have come across a term, CRISP-DM - a data mining standard. Though this process is not a new one but I felt every analyst should know about commonly used Industry wide process. In this post I will explain about different phases involved in creating a data mining solution. ... [Read more...]

In my previous blog I have explained about linear regression. In today’s post I will explain about logistic regression.         Consider a scenario where we need to predict a medical condition of a patient (HBP) ,HAVE HIGH BP or NO HIGH BP, based on some observed symptoms – Age, weight, Issmoking, ... [Read more...]

R is getting popular programming language in the area of Data Science. Integrating Rscript with web UI pages is a challenge which many application developers are facing. In this blog post I will explain how we can expose R script as an API, using rApache and Apache webserver. rApache is ... [Read more...]

What is a Prediction Problem?A business problem which involves predicting future events by extracting patterns in the historical data. Prediction problems are solved using Statistical techniques, mathematical models or machine learning techniques.For example: Forecasting stock price for the next week, predicting which football team wins the world cup, ... [Read more...]

In our day to day life, we come across a large number of Recommendation engines like Facebook Recommendation Engine for Friends’ suggestions, and suggestions of similar Like Pages, Youtube recommendation engine suggesting videos similar to our previous searches/preferences. In today’s blog post I will explain how to build ... [Read more...]

In today’s blog post, we shall look into time series analysis using R package – forecast. Objective of the post will be explaining the different methods available in forecast package which can be applied while dealing with time series analysis/forecasting. What is Time Series?A time series is a ... [Read more...]

Ever since I’ve started working on R , I always wondered how I can presentthe results of my statistical models as web applications. After doing someresearch over the internet I’ve come across – ShinyR – a new packagefrom RStudio which can be used to develop interactive web applications with R.Before ... [Read more...]

In my previous blog post I have explained the steps needed to solve a data analysis problem. Going further, I will be discussing in-detail each and every step of Data Analysis. In this post, we shall discuss about exploratory Analysis.What is Exploratory Analysis?“Understanding data visually”Exploratory Analysis means ... [Read more...]

After going through the overview of tools & technologies needed to become a Data scientist in my previous blog post, in this post, we shall understand how to tackle a data analysis problem.Any data analysis project starts with identifying a business problem where historical data exists. A business problem can ... [Read more...]

As mentioned in my previous post , in this post I will be listing out the tools, blogs and forums, online courses that I have gathered over the past one year, which I felt necessary in my journey, which will be helpful to my fellow data science aspirants. Skillset Required: Knowledge ... [Read more...]

As we all are marching into the New Year, I would like to post about my plans to become a Data Scientist, my 2014 resolution at Professional front. The term Data Science was first introduced to me a year ago same time. Since then I have started researching and gathering necessary ... [Read more...]