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Data Perspective

Data Perspective is technical blog maintained by Suresh K Gorakala. Tutorials are focused on areas of Data Science, Data Mining, Text Mining using R

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Data Perspective is technical blog maintained by Suresh K Gorakala. Tutorials are focused on areas of Data Science, Data Mining, Text Mining using R
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Data Perspective is technical blog maintained by Suresh K Gorakala. Tutorials are focused on areas of Data Science, Data Mining, Text Mining using R

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1

Data Analysis Tools ~ Data Perspective

http://www.dataperspective.info/2014/01/data-analysis-tools.html

Data Science with R. Tuesday, January 7, 2014. 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. Knowledge in Statistics – Exploratory analysis, doing initial analysis of the data and understanding the data to decide what techniques needs to be applied, which I feel is a must know subject. Data explor...

2

Regression Analysis using R ~ Data Perspective

http://www.dataperspective.info/2014/10/regression-analysis-using-r.html

Data Science with R. Sunday, October 5, 2014. Regression Analysis using R. 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, etc. What is Regression analysis, where is it applicable? Y ≈ β0 β1X e. How do...

3

Exploratory data analysis techniques ~ Data Perspective

http://www.dataperspective.info/2014/03/exploratory-data-analysis-techniques.html

Data Science with R. Monday, March 3, 2014. Exploratory data analysis techniques. 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? 8220;Understanding data visually”. Know the data types of the dataset – whether continuous/discreet/categorical. Understand how the data is distributed. 1] "Inc...

4

Build Web applications using Shiny R ~ Data Perspective

http://www.dataperspective.info/2014/03/build-web-applications-using-shiny-r.html

Data Science with R. Thursday, March 20, 2014. Build Web applications using Shiny R. Ever since I’ve started working on R , I always wondered how I can present. The results of my statistical models as web applications. After doing some. Research over the internet I’ve come across – ShinyR – a new package. From RStudio which can be used to develop interactive web applications with R. Before going into how to build web apps using R, let me give you some overview. No JavaScript/HTML knowledge required.

5

Document Classification using R ~ Data Perspective

http://www.dataperspective.info/2013/07/document-classification-using-r.html

Data Science with R. Thursday, July 25, 2013. Document Classification using R. September 23, 2013. Recently I have developed interest in analyzing data to find trends, to predict the future events etc. and started working on few POCS on Data Analytics such as Predictive analysis, text mining. I’m putting my next blog on Data Mining- more specifically document classification using R Programming language, one of the powerful languages used for Statistical Analysis. What is Document classification? We have ...

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Data Perspective

Blog posts on Data Science, Machine Learning, Data Mining, Artificial Intelligence, Spark Machine Learning. Saturday, December 2, 2017. Getting Started with R. In this post we get familiar with R Studio and basic syntax of R programming language. We have 4 panes. 1) script pan - to write and save the programing script. 2) Console pane - where all the code will get executed. 3) Environment/history pane - displays all the variables created,functions. Used with in the current session. Labels: Data Science R.

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