Ramgopal Prajapat:

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K Means Clustering Practical Applications Ram - Aug 04, 2020
Clustering or Unsupervised Segmentation is one of the commonly used techniques. In this blog, we want to share the scenarios where Clustering is used for decision making.
Correlation Analysis using R and Python Ram - Aug 04, 2020
In this blog, we show the steps involved in Correlation Analysis. We have added an excel with steps to calculate the correlation coefficient and p-value. Also, included correlation analysis - scatter plot, adding regression line, correlation coefficient and p-value using R and Python
Credit Card Approval Model using XGBoost Ram - Aug 01, 2020
Credit Card department in a bank is a leading data science adopter. Acquiring new credit card users is always a key priority for the bank. Giving credit cards without due diligence or assessment for creditworthiness is a huge risk. From the last many decades, the credit card department is using …
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 …
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, …
Fraud Analytics in Insurance Ram - Jul 08, 2020
In this blog, we discuss Real applications of Machine Learning and Deep Learning methods. Fraud has been a significant cost drain for many organizations across industries and Insurance is no different. “Total cost of insurance fraud (excluding health insurance) is more than $40 billion per year in the US alone”
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 …