Update README.md

Fix streamlit_app.py to properly use imported main() function instead of always overriding with fallback

Resolve README.md merge conflict for ParallelLLC Hugging Face remote, keep all clone URLs

Resolve README.md merge conflict and list all remote clone URLs as per user instructions

Fix Streamlit Cloud deployment import issue - Added robust import handling with fallbacks - Added current directory to Python path - Added error handling for import failures - Improved debugging output for deployment troubleshooting

Merge remote changes and resolve conflicts - Fixed frequency error (ME -> M) - Updated analytics availability checks - Resolved merge conflicts keeping local improvements

Fix frequency error and analytics availability issues - Fixed Invalid frequency: ME error by changing freq='ME' to freq='M' - Updated analytics availability check to verify modules directly - Improved error handling for real FRED data processing - Enhanced configuration page to show accurate analytics status

Restore secrets.toml with only FRED API key after history cleanup

Remove all demo data and update project to use only real FRED API data

Optimize Streamlit app performance with lazy imports and loading indicators

Merge feature/advanced-analytics-20250711 into main - Complete FRED ML platform with Streamlit Cloud deployment

Fix Streamlit Cloud deployment issues and deprecated pandas warnings

Merge remote main branch

Merge pull request #3 from EAName/feature/advanced-analytics-20250711

Prepare for Streamlit Cloud deployment - Add deployment files, fix clustering chart error, update requirements

feat: Integrate advanced analytics and enterprise UI

Update README.md

Update README.md

merge: Resolve merge conflict with hf-parallel, keep updated README

merge: Resolve merge conflict, keep updated README

docs: Add comprehensive deployment summary

Update README.md

Update README.md

docs: Add CI/CD pipeline status tracking

feat: Complete project cleanup and professional structure

Update README.md

Update README.md

Enterprise: Clean up directory structure and add proper CI/CD, monitoring, and deployment configurations

Enterprise: Transform to production-grade architecture with FastAPI, Docker, K8s, monitoring, and comprehensive tooling

Restore CSV and PNG files with Git LFS tracking

Remove CSV files from tracking

Security: Move API key to environment variables and update documentation

Remove CSV files from tracking

Initial commit: FRED_ML project without binary files