Ramgopal Prajapat:

Learnings and Views

Customer Attrition Model using Decision Tree Ram - Apr 03, 2021
It is costly to acquire a new customer, hence banks and other organizations work to keep their customer engaged (or reduce the customer attrition) Customer Attrition can be silent (when a customer stops using a product) and explicit when a customer closes a product. Typically, there is a journey or …
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 …
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.
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.