expstats: A Unified A/B Testing Toolkit for Python
Conversion, magnitude, and timing analysis with sample size calculation, sequential testing, and Bayesian methods
@brightertiger
Data Scientist & Kaggle Master building intelligent systems with ML, Deep Learning, and LLM Agents
A/B Testing Calculator & Statistical Significance for Python
Detect gibberish, garbled text with 99.5% precision
LLM Agents Demo using Google ADK
Kaggle Competitions + Playground solutions
Lane Detection using U-Net architecture
AI-powered College Counseling Agent
More projects on GitHub
Conversion, magnitude, and timing analysis with sample size calculation, sequential testing, and Bayesian methods
A Python library that detects gibberish, keyboard mashing, and corrupted text with 70%+ accuracy
Building a multi-agent system with Google's Agent-Development-Kit and MCP for website crawling and geocoding
How fine-tuning RoBERTa can enhance NER performance on custom datasets
Implementing lane detection using U-Net for autonomous driving applications