Python
Machine Learning
2023
ID: 1CP0693
Employee Promotion By Using Machine Learning
Keywords:
Employee
Promotion
Prediction,
Machine
Learning,
Decision
Tree,
Naive
Bayes,
Flask
Framework,
HR
Analytics,
Python,
Pickle
Model
Project Synopsis & Overview
This project predicts whether an employee should be promoted using machine learning and a Flask web application in Python. Historical employee performance, skills, and experience data are collected and preprocessed, then Decision Tree and Naive Bayes models are trained, saved as pickle files, and used for real-time promotion prediction, enabling fair, objective, transparent, and data-driven promotion decisions in modern organizations.
Complete Technical Specifications
| Project ID | 1CP0693 (DB ID: 693) |
| Project Title | Employee Promotion By Using Machine Learning |
| Domain Division | Python |
| Sub-Domain / Tech | Machine Learning |
| IEEE Year | 2023 |
| Package Price | ₹6500 |
| Created Date | Nov 12, 2026 |
Project Price
₹6500
₹8000
20% OFF
100% Executable Source Code & DB
IEEE Journal Paper Synopsis & PPT
1-on-1 AnyDesk/Zoom Live Setup Support
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