Publications by Gunneet Singh, Elbrus Gasimov
Spatial analysis of child mortality rate in Indian provinces
Introduction Child mortality is one of those factors which, due to the issue of malnutrition, have been discussed quite extensively on a global level since the last decade or so. In the list of countries doing quite well in reducing the childhood mortality rates, India is placed very low. Even though the continuous monitoring and the policy m...
8908 sym R (31183 sym/52 pcs) 7 img
Classification of the fraudulent credit card transactions
Introduction It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase. Looking at the importance of this issue, the current study tries to perform classification modeling technique to predict and categorize all the transactions into ...
5435 sym R (16897 sym/62 pcs) 8 img
Regression modeling on Life expectancy across different nations
Introduction Although there have been lot of studies undertaken in the past on factors affecting life expectancy considering demographic variables, income composition and mortality rates. It was found that affect of immunization and human development index was not taken into account in the past. As a result, this study tries to perform different ...
7773 sym R (44197 sym/93 pcs) 22 img
Classifying organizations into bankrupt or not bankrupt categories
Introduction The data were collected from the Taiwan Economic Journal for the years 1999 to 2009. Company bankruptcy was defined based on the business regulations of the Taiwan Stock Exchange. The data is made available on Kaggle here- https://www.kaggle.com/fedesoriano/company-bankruptcy-prediction Importing the necessary libraries library(ROCR...
7248 sym R (108685 sym/114 pcs) 11 img
Market basket analysis of groceries data
Introduction Market basket analysis is a data mining technique, primarily used by businesses(retailers) to better understand their customer’s preference patterns. This helps them to focus more on the needs of their customers, which leads to an increase in the profits. This might, for instance, unfold patterns like a customer who buys milk and b...
2516 sym R (6850 sym/18 pcs) 1 img
Clustering and Dimension reduction for nations on the basis of various socio-economic factors
Introduction Although there have been a lot of studies in the past regarding clustering of countries on the basis of GDP and life expectancy. It was found that not many have considered other socio-economic factors like Mortality rate and level of Schooling and their effect has not been publicised much. As a result, this study tries to perform dif...
7987 sym R (64831 sym/72 pcs) 17 img
Visualizing obesity levels
Introduction Nowadays, Obesity is one of the most prominent health-related issues faced by the people across globe. Due to this very reason, it is very crucial to analyze the issue deeply. The dataset used is about the obesity levels of people from 3 specific countries, namely, Mexico, Pery and Colombia. Using the “ggplot” library primarily, ...
6663 sym R (7442 sym/18 pcs) 9 img