requirements.txt

# PURPOSE: Lists all Python libraries needed to run this project
#  - Ensures everyone has the same library versions 
#  - Makes project reproducible - anyone can install exact same environment
#  - Required for project evaluation 
#
# HOW TO USE:
# 1. Create virtual environment: python -m venv venv
# 2. Activate it: 
#    - Mac/Linux: source venv/bin/activate
#    - Windows: venv\Scripts\activate
# 3. Install everything: pip install -r requirements.txt
#
# HOW TO UPDATE:
# If you install a new library (e.g., pip install xgboost), add it here with version:
# - Find version: pip show xgboost
# - Add line: xgboost==2.0.0
# - Commit and push so everyone has it
#
# Last updated: [Today's date] by Member 4
# Python version required: 3.9 or higher

# ==================================================
# DATA PROCESSING (Member 1 & 2 use these)
# ==================================================
pandas==2.0.3
numpy==1.24.3
openpyxl==3.1.2          # Read Excel files (.xlsx)
xlrd==2.0.1              # Read older Excel files (.xls)

# # ==================================================
# MACHINE LEARNING (Member 3 uses these)
# ==================================================
scikit-learn==1.3.0      # Main ML library
# Add more as Member 3 needs them:
# xgboost==2.0.0
# imbalanced-learn==0.11.0    # For handling class imbalance (SMOTE)

# ==================================================
# VISUALIZATION (Member 2 & 4 use these)
# ==================================================
matplotlib==3.7.2        # Basic plotting
seaborn==0.12.2          # Statistical visualizations

# ==================================================
# JUPYTER NOTEBOOKS (Everyone uses)
# ==================================================
jupyter==1.0.0
notebook==7.0.2

# ==================================================
# UTILITIES
# ==================================================