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Copy this and paste it into Claude Code, Cursor, or any AI assistant:
I want to add the "Advanced-Employee-Salary-Predictor — Copilot Instructions" prompt rules to my project. Repository: https://github.com/QizarBilal/Advanced-Employee-Salary-Predictor Please read the repo to find the rules/prompt file, then: 1. Download it to the correct location (.cursorrules, .windsurfrules, .github/prompts/, or project root — based on the file type) 2. If there's an existing rules file, merge the new rules in rather than overwriting 3. Confirm what was added
Description
Copilot Instructions for Advanced-Employee-Salary-Predictor
Key Requirements
• Handle missing values, outliers, and data inconsistencies professionally • Create comprehensive EDA with statistical insights and visualizations • Implement multiple ML algorithms (Linear Regression, Random Forest, XGBoost, etc.) • Include model interpretability using SHAP or similar tools • Build an attractive, user-friendly web interface with Streamlit • Ensure salary predictions are in Indian Rupees (INR)
Employee Salary Prediction System - Copilot Instructions
This is a comprehensive Machine Learning project for predicting employee salaries. When working on this project, please follow these guidelines:
Project Context
• This is an AIML internship project demonstrating professional data science workflow • Focus on creating production-quality, well-documented code • Use modern Python data science best practices • Ensure all code is suitable for portfolio presentation
Code Style Guidelines
• Follow PEP 8 Python style guidelines • Use type hints for function parameters and return values • Include comprehensive docstrings for all functions and classes • Write modular, reusable code with proper error handling • Use meaningful variable and function names
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Works With
Any AI assistant that accepts custom rules or system prompts