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Category: Machine Learning

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    Introduction to Random forest – Simplified

    Tavish Srivastava, June 10, 2014
    Algorithm, Big data, Business Analytics, Classification, Intermediate, Machine Learning, Supervised
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    Simple framework to build a survival analysis model on R

    Tavish Srivastava, April 27, 2014
    Big data, Business Analytics, Classification, Intermediate, Machine Learning, R, Structured Data, Supervised, Technique
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    Is survival analysis the right model for you?

    Tavish Srivastava, April 21, 2014
    Big data, Business Analytics, Intermediate, Machine Learning, Technique
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    Framework to build logistic regression model in a rare event population

    Tavish Srivastava, January 18, 2014
    Algorithm, Beginner, Business Analytics, Classification, Excel, Machine Learning, SAS, Structured Data, Supervised, Technique
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    Extracting right variables for your Regression model

    Tavish Srivastava, December 26, 2013
    Business Analytics, Intermediate, Machine Learning, SAS, Technique
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    Diagnosing residual plots in linear regression models

    Tavish Srivastava, December 1, 2013
    Big data, Business Analytics, Intermediate, Machine Learning, SAS, Technique
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    Getting your clustering right (Part II)

    Tavish Srivastava, November 17, 2013
    Beginner, Big data, Business Analytics, Clustering, Machine Learning, SAS, Technique, Unsupervised
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    Getting your clustering right (Part I)

    Tavish Srivastava, November 12, 2013
    Banking, Business Analytics, Clustering, Intermediate, Machine Learning, Python, SAS, Structured Data, Technique, Unsupervised, Web Analytics
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    How to find inefficient branches when considering multiple outputs?

    Tavish Srivastava, November 6, 2013
    Business Analytics, Intermediate, Machine Learning, SAS, Technique
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    Trick to enhance power of Regression model

    Tavish Srivastava, October 21, 2013
    Business Analytics, Intermediate, Machine Learning, Regression, SAS, Structured Data, Supervised, Technique

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