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Targeted maximum likelihood estimation (TMLE) enables the integration of machine learning approaches in comparative effectiveness studies. It is a doubly robust method, making use of both the outcome model and propensity score model to generate an unbiased estimate as long as at least one of the models is correctly specified.

  • Updated Jan 5, 2023
  • HTML

This project is a Telegram bot that predicts colors in online gambling games using machine learning. It provides real-time statistics and monitors bets to offer predictions on the next color to be drawn. Written in Python, it utilizes libraries like Telethon, Websockets, and Scikit-learn.

  • Updated Jul 6, 2023
  • Python

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