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GitHub / MJanbandhu / IABAC-Employee-Performance-Analysis-INX-Future-Inc.

The following insights are expected from this project. 1. Department wise performances 2. Top 3 Important Factors effecting employee performance 3. A trained model which can predict the employee performance based on factors as inputs. This will be used to hire employees 4. Recommendations to improve the employee performance based on insights from C

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MJanbandhu%2FIABAC-Employee-Performance-Analysis-INX-Future-Inc.

Stars: 1
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 59.1 MB
Dependencies: 0

Created: 3 months ago
Updated: 17 days ago
Last pushed: 18 days ago
Last synced: 17 days ago

Topics: conclusions, data-science-project, deep-learning, exploratory-data-analysis, feature-engineering, iabac-project, machine-learning, mohit-janbandhu, recommendation

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