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Customer Attrition Model using Decision Tree Ram - Apr 03, 2021

It is costly to acquire a new customer, hence banks and other organizations work to keep their customer engaged (or reduce the customer attrition) Customer Attrition can be silent (when a customer stops using a product) and explicit when a customer closes a product. Typically, there is a journey or …

Decision Tree: A statistical and analytical tool for effective decisions Ram - Dec 28, 2020

A decision tree is a hierarchical or tree-like representation of decisions. A Decision Tree is a technique to iteratively break input data (or node) into two or more data samples (or nodes). And this recursive partitioning of input data (or node) continues until it meets specified condition(s). A Decision Tree …

CHAID Decision Tree: Reverse Mortgage Loan Termination Example Ram - Dec 16, 2020

Reverse Mortgage Loan (RML) enables Senior Citizens to avail of periodical payments from a lender against the mortgage of his/her house to supplement their income while remaining the owner and occupying the house. Interest on the payments availed will be accumulated. One of the types of A reverse mortgage is …

Tree Based Classifier using sklearn and Python Ram - Jul 20, 2020

Decision Tree and Adaboost are some of the famous classifiers in Machine Learning Methods. In this blog, we will show the steps involved in building the Machine Learning based Predictive Model for Binary Classification.

Gini Index Explained with Worked out Examples Ram - Jul 23, 2020

Decision Tree is one of the most commonly used and easy to understand Machine Learning Techniques. There are a few different algorithms used for building a decision tree and one such algorithm is CART - Classification and Regression Tree. CART Decision Tree algorithm uses Gini Index measures to select variables …

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