Popular GitHub Repositories for Extratreesregressor

Fast-API base StockSeer-API uses different machine learning alogs to forecast closing stock prices.

I developed Machine Learning Software with multiple models that predict and classify AID362 biology lab data. Accuracy values are 99% and above, and F1, Recall and Precision scores are average (average of 3) 78.33%. The purpose of this study is to prove that we can establish an artificial intelligence (machine learning) system in health. With my regression model, you can predict whether it is Inactive or Inactive (Neural Network or Extra Trees). In classification (Neural Network or Extra Trees), you can easily classify the provided data whether it is Inactive or Active.

A machine learning project that explores and predicts the prices of houses in Washington, USA

Predicting podcast episode listening time using machine learning for Kaggle's April 2025 Playground Series. Built models like Random Forest, LightGBM, and ExtraTrees with feature engineering and evaluation. Achieved strong validation RMSE performance.