Inspiration
Following the trend of fintech companies doing mass lay-offs, we want
What it does
It uses data analysis and machine learning to predict the probability of an employee being laid off based on their demographic (age), educational background (college, bachelor, etc), and involvement in their line of work (be it self-assessed or by an employer).
How we built it
Our model uses the IBM HR Analytics Employee Attrition & Performance dataset from Kaggle. link
Challenges we ran into
As novice developers, we were unsure of how to proceed after we trained our ML model.
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