R & Machine Learning – AcadGild https://acadgild.com/blog Learn. Do. Earn. Thu, 25 Aug 2016 12:01:42 +0000 en-US hourly 1 https://wordpress.org/?v=4.5.3 103159356 Machine Learning with Spark – Part 3 https://acadgild.com/blog/machine-learning-spark-part-3/ https://acadgild.com/blog/machine-learning-spark-part-3/#respond Tue, 23 Aug 2016 13:11:54 +0000 https://acadgild.com/blog/?p=15764 In this post, we will be working on a dataset from a bank and try to find some patterns using Exploratory Data Analysis. Before we go ahead let’s get acquainted with the data set. Dataset: Source Information Professor Dr. Hans Hofmann Institut f”ur Statistik und “Okonometrie Universit”at Hamburg FB Wirtschaftswissenschaften Von-Melle-Park 5 2000 Hamburg 13 […]

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]]> https://acadgild.com/blog/machine-learning-spark-part-3/feed/ 0 15764 Machine Learning with Spark: Determining Credibility of a Customer – Part 1 https://acadgild.com/blog/machine-learning-spark-determining-credibility-customer-part-1/ https://acadgild.com/blog/machine-learning-spark-determining-credibility-customer-part-1/#respond Fri, 19 Aug 2016 09:52:47 +0000 https://acadgild.com/blog/?p=15292 This is a first part of the series of posts, which will outline the importance of Spark in solving Machine Learning problems. This series covers complete steps that are necessary for a Data Science project. This series of steps commonly known as data pipeline in the industry consists of various data transformations and evolutions, each […]

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]]> https://acadgild.com/blog/machine-learning-spark-determining-credibility-customer-part-1/feed/ 0 15292 Graphical Exploratory Data Analysis-II https://acadgild.com/blog/graphical-exploratory-data-analysis-ii/ https://acadgild.com/blog/graphical-exploratory-data-analysis-ii/#respond Fri, 13 May 2016 07:12:25 +0000 https://acadgild.com/blog/?p=4761 In the previous blog, we discussed about using histograms to check the central tendency measures of a continuous variable. We also plotted the frequencies of different ordinal variables to see the distribution of observations in each category. In this blog, we will discuss about other types of data visualizations, their use and interpretation. Density Plot […]

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]]> https://acadgild.com/blog/graphical-exploratory-data-analysis-ii/feed/ 0 4761 Exploratory Data Analysis: Graphical Data Analysis with R https://acadgild.com/blog/exploratory-data-analysis-graphical-data-analysis/ https://acadgild.com/blog/exploratory-data-analysis-graphical-data-analysis/#respond Wed, 13 Apr 2016 06:38:55 +0000 https://acadgild.com/blog/?p=3009 In this blog, we will discuss about visualizing the most important attributes of data through graphical exploratory data analysis with R. We will also learn about the suitability of visualization in different scenarios. We recommend users to go through our previous blogs on Exploratory Data Analysis to have better understanding of the concepts discussed further. […]

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]]> https://acadgild.com/blog/exploratory-data-analysis-graphical-data-analysis/feed/ 0 3009 Exploratory Data Analysis -Part II https://acadgild.com/blog/exploratory-data-analysis-part-ii/ https://acadgild.com/blog/exploratory-data-analysis-part-ii/#respond Tue, 05 Apr 2016 13:08:13 +0000 https://acadgild.com/blog/?p=2698 In this EBook, we will discuss Exploratory Data Analysis in detail. With the help of bank data, we will explore data analysis using a very popular open source tool called R. The Dataset Following is a bank data for the loan given out from bank:   loan_id amount duration payments status 1 5314 96396 12 […]

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]]> https://acadgild.com/blog/exploratory-data-analysis-part-ii/feed/ 0 2698 How R is Used in Organizations https://acadgild.com/blog/r-used-organizations/ https://acadgild.com/blog/r-used-organizations/#comments Tue, 05 Apr 2016 10:09:47 +0000 https://acadgild.com/blog/?p=2625 The R programming language is considered an important tool for development in the field of Machine Learning. With the ever-growing popularity and necessity of Machine Learning, R has now become one of the vital skills for organizations and can only be expected to grow even further. Notes Roger Peng, an R programming veteran, believes that R […]

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]]> https://acadgild.com/blog/r-used-organizations/feed/ 1 2625 Exploratory Data analysis With R – Part I https://acadgild.com/blog/exploratory-data-analysis/ https://acadgild.com/blog/exploratory-data-analysis/#respond Mon, 28 Mar 2016 12:51:56 +0000 https://acadgild.com/blog/?p=2380 Exploratory Data Analysis: The First Statistical Glance of the Data In this blog, we will learn about the basic analysis tasks what we should apply to our data before we go ahead and build complex models. We will discuss the basic statistical properties that almost all the data have and can be used to extract […]

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]]> https://acadgild.com/blog/exploratory-data-analysis/feed/ 0 2380 Integration of R with Hadoop https://acadgild.com/blog/integration-r-hadoop/ https://acadgild.com/blog/integration-r-hadoop/#respond Tue, 23 Feb 2016 14:13:46 +0000 https://acadgild.com/blog/?p=1585 When it comes to Statistical Analysis, R is one of the most preferred option and by integrating it with Hadoop, we can successfully use it for Big Data Analytics. In this post, we will be discussing the step-by-step explanation for integrating R with Hadoop and will be performing various operations on HDFS using R console. […]

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]]> https://acadgild.com/blog/integration-r-hadoop/feed/ 0 1585 Take your career ahead with Big Data and land one of the highest paying IT JOB https://acadgild.com/blog/take-your-career-ahead-with-big-data-and-land-one-of-the-highest-paying-it-job/ https://acadgild.com/blog/take-your-career-ahead-with-big-data-and-land-one-of-the-highest-paying-it-job/#respond Wed, 17 Feb 2016 09:37:48 +0000 https://acadgild.com/blog/?p=1636 Big Data has taken the IT world by storm. If you’re thinking about switching to Big Data domain or take the first step in your career with Big Data, then we believe that you have made the best decision in your career life. Here’s a guide to Big Data jobs, their prospects, salary compensations and […]

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