Predicting Employee Attrition - Supervised Classification Machine Learning
Leveraging Machine Learning to Understand and Mitigate Workforce Turnover
KNIME Projects by V2K
Hi! I’m a data science enthusiast who loves building data-oriented projects. I share my experiments and learnings in this blog. Feel free to reach me via LinkedIn or Twitter!
Latest articles
Identify Core Factors in Performance Appraisal - Principal Component Analysis
Unveiling Key Elements in Employee Evaluation through Advanced Analytical Techniques
Identify Absenteeism Patterns - Cluster Analysis
Unveiling Patterns in Employee Absenteeism Through Advanced Clustering Techniques
Evaluating Job Satisfaction - Association Rule Mining
Uncovering Key Factors Influencing Employee Contentment Through Data Analysis
Forecasting HR Cost - Time Series Modeling
Predicting Future HR Expenses with Time Series Analysis Techniques
Evaluate Training Effectiveness - Comparative Statistics
Analyzing the Impact of Training Programs Using Statistical Methods
Structuring Employee Rewards Package - Conjoint Analysis
Optimizing Employee Satisfaction Through Strategic Benefits Analysis
Reviewing Employee Details – Data Visualization
Visual exploration of employee details data using the low-code KNIME Analytics Platform
Analyzing Employee Details – Data Exploration & Manipulation
An exploratory data analysis of employee details data using the low-code KNIME Analytics Platform