Difference between Univariate, Bivariate, and Multivariate Quantitative Data AnalysisUnivariate, bivariate, and multivariate quantitative data analysis are fundamental techniques used in statistics to explore different…Mar 17, 2024Mar 17, 2024
Preventing Customer Churn using Predictive AnalyticsBy predicting and reducing churn, businesses can improve their bottom line and achieve a more sustainable growth model.Feb 14, 2023Feb 14, 2023
Customer Lifetime Value (CLV) prediction through Survival AnalysisWhat is Customer Lifetime Value?Jan 19, 2023Jan 19, 2023
Predictive Modeling for Customer Acquisition and RetentionDefinition of Predictive ModelingJan 4, 2023Jan 4, 2023
Improving imbalanced datasets with synthetic dataSometimes data scientists may find their classification task on an uneven board — in other words, an imbalanced dataset. This means that…Dec 12, 2022A response icon1Dec 12, 2022A response icon1
How ML can improve Sales Lead DistributionSales reps are under constant pressure to close leads and bring in new business. As a result, many organizations are turning to Machine…Oct 13, 2022Oct 13, 2022
Why your Marketing Team needs a Data ScientistIt’s no secret that data is king in today’s world. And it’s becoming increasingly important to have a data scientist on board.Sep 27, 2022Sep 27, 2022
