This project introduces foundational concepts of performing non-hierarchical clustering to understand different factors affecting employee attrition and obtaining clusters based on common the common factors.
Employee attrition has been found to be a growing challenge faced by industries globally. This often leads to wastage of both time and resources which has detrimental consequences on a company.
Analyzing the different reasons that affect employee attrition is one of the important roles of HR department. Based on this understanding, it can be beneficial to plan future hirings such that there is minimal employee attrition.
Learn to apply different data visualization techniques to thoroughly understand the conditions affecting employee attrition and apply clustering algorithms to group employees and strategist future hiring actions.
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