Urvashi JaitleyinTowards Data ScienceHow to quantify customer problems for prioritization using churn surveyUnderstanding users’ needs and pain points is a critical component of business success. Churn surveys, a specific type of survey designed…Mar 141Mar 141
Urvashi JaitleyinTowards Data ScienceComparing Different Classification Machine Learning Models for an imbalanced datasetA data set is called imbalanced if it contains many more samples from one class than from the rest of the classes. Data sets are…Feb 2, 201913Feb 2, 201913
Urvashi JaitleyinDataDrivenInvestorIt’s Time To Take Location-Data Driven Decisions For Business SuccessAs per the Gartner research, in 2020, there will be 20.4 billion connected “things” in use, up from 8.4 billion in 2017. From smartphones…Nov 9, 2018Nov 9, 2018
Urvashi JaitleyWhy Data Normalization is necessary for Machine Learning modelsNormalization is a technique often applied as part of data preparation for machine learning. The goal of normalization is to change the…Oct 7, 201831Oct 7, 201831
Urvashi JaitleyConvert Multiple Categorical Data Columns to Numerical Data Columns using Dummy VariablesA few days back, I was building a Deep Neural Network model using keras for predicting Telecom Customer Churn. But, before building a…Sep 17, 20183Sep 17, 20183