Ramgopal Prajapat:

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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 …
Wonderful Word Cloud in Python Ram - Jul 05, 2020
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.
Multiple Linear Regression in Python: With an Example Ram - Jun 18, 2020
In this blog, we are building a Multiple Regression-based Machine Learning model for predicting house prices. We aim to cover two fundamental aspects – first showing steps involved in building a model and second explaining core concepts & statistics.