37 citations · 39 across the 2 of their papers we have counts for
3 papers
cs.LG2020★ 37 cited
A Modified Bayesian Optimization based Hyper-Parameter Tuning Approach for Extreme Gradient Boosting
Sayan Putatunda, Kiran Rama
It is already reported in the literature that the performance of a machine learning algorithm is greatly impacted by performing proper Hyper-Parameter optimization. One of the ways…
cs.IR2019★ 2 cited
Deep Learning to Address Candidate Generation and Cold Start Challenges in Recommender Systems: A Research Survey
Kiran Rama, Pradeep Kumar, Bharat Bhasker
Among the machine learning applications to business, recommender systems would take one of the top places when it comes to success and adoption. They help the user in accelerating…
stat.CO2019
SmartEDA: An R Package for Automated Exploratory Data Analysis
Sayan Putatunda, Kiran Rama, Dayananda Ubrangala +1
This paper introduces SmartEDA, which is an R package for performing Exploratory data analysis (EDA). EDA is generally the first step that one needs to perform before developing an…