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Raghavan Madabusi's Blog – May 2017 Archive (2)

Loan Prediction – Using PCA and Naive Bayes Classification with R

Overview

Nowadays, there are numerous risks related to bank loans both for the banks and the borrowers getting the loans. The risk analysis about bank loans needs understanding about the risk and the risk level. Banks need to analyze their customers for loan eligibility so that they can specifically target those customers.

Banks wanted to automate the loan eligibility process (real time) based on customer details such as Gender, Marital Status, Age,…

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Added by Raghavan Madabusi on May 10, 2017 at 4:30pm — 1 Comment

Call Detail Record Analysis – K-means Clustering with R

Overview

Call Detail Record (CDR) is the information captured by the telecom companies during Call, SMS, and Internet activity of a customer. This information provides greater insights about the customer’s needs when used with customer demographics. Most of the telecom companies use CDR information for fraud detection by clustering the user profiles, reducing customer churn by usage activity, and targeting the profitable customers by using RFM…

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Added by Raghavan Madabusi on May 10, 2017 at 2:00pm — 1 Comment

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