REactive Behavior Constraint-Aware Tree learning (REBCAT) - a human-robot collaboration framework to learn task from demonstrations. Interpretable, fast, object-centric, and reactive.
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Updated
May 29, 2025 - Python
REactive Behavior Constraint-Aware Tree learning (REBCAT) - a human-robot collaboration framework to learn task from demonstrations. Interpretable, fast, object-centric, and reactive.
Data Analysis and prediction on Kaggle dataset: Credit Risk Dataset
The IPL Win Predictor is a Streamlit app that uses a CatBoost model to predict IPL match win probabilities based on teams, city, score, overs, and wickets. It features a high-contrast UI and is Heroku-deployable.
This repository contains my current model for the Titanic Kaggle competition.
A real-time hand gesture recognition system using MediaPipe, OpenCV and CatBoost, trained on the Hagrid Gesture Dataset to classify 18 hand gestures with high accuracy."
Kaggle Playground Series - Season 5, Episode 7
Predicting the risk of diabetes using a combination of health indicators and socioeconomic factors
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