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This tutorial illustrates use of recommendation engines in the banking industry with practicals done in R. It also explains types of recommendation engines.
Boruta package is a wrapper algorithm around random forest for important variables and used to perform feature selection in R for data science.
Take your GBM models to the next level with hyperparameter tuning. Find out how to optimize the bias-variance trade-off in gradient boosting algorithms.
A framework to quickly build a predictive model using python in under 10 minutes & create a benchmark solution for data science competitions.
This article highlights the concept of cross selling and upselling using a case study. Definition, cross-sell process, strategy is discussed
SAS IML is handy to solve iterative or matrix related problems. Here is an article which brings out a bunch of applications of SAS PROC IML.
This article explains how to solve a real life scenario business case using Markov chain algorithm where simple Markov chain can be leveraged.
This article provides a simple framework to make a word cloud using text mining feature of R, text mining tools, data mining tools.
This article will take you through how using big data, banks predict the next best offering for its customers.
An introduction to clustering analysis. In this article learn about techniques of clustering analysis and the common steps involved in clustering.
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