⚡ Stop Rewriting Scikit-Learn Pipelines.
Spend hours handling NaNs and encoding categories just to see if a model works? RapidModels is a crash-proof Python boilerplate that turns tedious setup into a 2-minute benchmark. Ingest messy CSVs and get immediate mathematical clarity.

🛠️ What’s Inside?

• Smart Preprocessor: Auto-handles missing values (Median/Most-Frequent) and applies Standard Scaling without data leakage.

• Dual-Engine: One toggle switches between 5 Classification & 5 Regression models.

• Leaderboard: Clean, ranked terminal output in seconds.

🔬 Built for Real-World Data
Whether prepping for technical interviews or processing complex datasets (like MRI metrics or industrial sensors), this ensures a mathematically sound baseline. Built cleanly with pandas and scikit-learn—no bloated dependencies.

📦 The Package

• main_pipeline.py (Core Engine)

• requirements.txt (One-click setup)

• README.md (Cheat Sheet to interpret results)

• sample_data.csv (Instant testing)

Get the baseline. Save your afternoon. All for the price of a coffee.