Category: HR analytics
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Unsupervised ML Clustering, Customer Segmentation, Cohort, Market Basket, Bank Churn, CRM, ABC & RFM Analysis – A Comprehensive Guide in Python
Table of Clickable Contents Motivation Methods Open-Source Datasets This file contains the basic information (ID, age, gender, income, and spending score) about the customers. Online retail is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail. The company mainly sells unique all-occasion…
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Top Fast-Growing Apps in 2023
This post was inspired by the recent OKTA Business at Work report and the follow-up Medium blogs by Leon Zucchini published in Apr 7 and Apr 24. Table of Contents Popular App Categories 10 Fastest-Growing Apps 10 Hottest New Apps Summary The following trends are set to shake-up the (Mobile) App industry: A few of…
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A Roadmap from Data Science to BI via ML
This post describes a Data Science (DS) roadmap, with relevant business applications. It has been written for aspiring data scientists, technical experts who work with data scientists, data-driven technology stakeholders, or anyone interested in learning about what DS is and what it’s used for. Why DS: The average base salary of a data scientist in…
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Cloud-Native Tech Autumn 2022 Fair
Let’s dive deeper into the cloud-native tech trends and features to follow in Q4 2022 and beyond. Contents: Markets Services Serverless Cybersecurity DevSecOps ML/AI/IoT Use-Cases Events Training Explore More Infographic
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Applications of ML/AI in HR – Predicting Employee Attrition
A critical arm of artificial intelligence (AI), machine learning (ML) is making strides in every area of HR. We discuss its role of ML/AI in HR and people-centric transformation. Results have a crucial influence on customer satisfaction and retention, especially when employees come into regular contact with customers. Knowing when employees are most likely to have…
Digital High Science 