Ramgopal Prajapat:

Learnings and Views

Deep Neural Network for Structured Data - Heart Attack Prediction From Scratch Ram - Sep 11, 2020
Preventive and predictive methods can help in managing the devastating effect of heart diseases. In this blog, we aim to show simple steps involved in building a predictive model using the Deep Neural Network method to predict a heart attack. This is a simple first deep neural network for structured …
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 …
Insurance Claim Fraud Modeling - Step by step Approach Ram - Sep 03, 2020
Insurance Fraud is done to get the monetary benefits that the policyholder is not entitled to on the insurance policy. Fraud can be committed by insurance company employees, brokers, intermediaries providing services to claimants (e.g. hospital, auto service garage, etc) and policyholders. It can be done at the time of …
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 …
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.
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 …
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.