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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 …

Predict Heart Attack using Machine Learning Tutorial- EDA, RF and GBM Ram - Sep 10, 2020

"Heart disease is the leading cause of death for both men and women in the United States, accounting for about one million deaths each year." - source. Preventive and predictive methods can help in managing the devastating effect of heart diseases. In this blog, we aim to show simple steps …

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.

ANOVA - Analysis of Variance Explained with Example Ram - Jul 09, 2020

Analysis of Variance is applied to compare population means across 2 or more samples/groups using variance of the samples/groups. In common applications of ANOVA, the dependent variable is continuous and independent variable is categorical (Nominal or Ordinal) variable. The mean of dependent variables is compared across categorical variable values. Typically, …

Refueling Customer Experience at Gas Stations and Convenience Stores Ram - Jul 07, 2020

The oil and Gas Industry is going through a challenging phase. Technology, Customer, and Climate Changes are expected to create major ripples for them. The owners of gas stations in the US have to rethink the business model and repurpose the gas station locations. In this blog, we share a …

Wonderful Word Cloud in Python Ram - Jun 19, 2021

Word Cloud is one of the visualization techniques to show relative importance of key words. Based on frequency of occurrences, it finds the importance for each word. From the large corpus of textual information, we want find the key words and topics, the word cloud can be really good starting …

Model Performance Statistics – Concordance: Calculation Steps Ram - Jun 19, 2020

In the blog, we will discuss one of the model performance statistics - Concordance. Concordance is commonly used model performance statistics in the industry.

Predictive Modeling: Framework & Approach Ram - Jun 19, 2020

In this blog, we aim to explain the broader steps involved in building predictive modeling using any of the machine learning methods. We will also illustrate key terminologies used within the predictive modeling project.

Concepts and Applications of Multiple regression Ram - Jun 18, 2020

In this blog, we aim to cover some of the fundamental questions data science aspirants ask. When do you use multiple regression techniques? What are a few real-life applications of the regression model? What is an overall approach to build the regression model? What is a methodology to estimate parameters? …

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