Ramgopal Prajapat:

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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 …
Confusion Matrix and Cost Matrix Ram - Aug 31, 2020
One of the commonly used model performance assessment tools is a confusion matrix. It compares actual labels vs predicted labels and allows us to measure accuracy, the ratio of correct predictions to the total number of predictions, and a few other measures such as precision, recall etc. A cost matrix …
K Means Clustering Algorithm: Explained Ram - Aug 07, 2020
One of the most frequently used unsupervised algorithms is K Means. K Means Clustering is an exploratory data analysis technique. Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in …
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 …