{"owner":"AaravMehta-07","github":"https://github.com/AaravMehta-07","claimed":false,"inventory":[],"indexed":[{"repo":"AaravMehta-07/LSTM-Random-Forest-XGBoost-Stock-Predictor-with-Optuna","github":"https://github.com/AaravMehta-07/LSTM-Random-Forest-XGBoost-Stock-Predictor-with-Optuna","description":"A hybrid AI-based stock market prediction system using LSTM, Random Forest, and XGBoost, built for real-world deployment with Optuna-powered tuning, feature-rich engineering, and ensemble prediction logic. Designed to optimize F1 score and accuracy, this system aims to generate reliable buy/sell signals on stocks.","language":"Python","stars":13,"topics":["deep-learning","ensemble-learning","financial-analysis","hyperparameter-optimization","investment","lstm","machine-learning","ml","optuna","python"],"license":"MIT","category":"machine-learning"}],"how_to_buy":"GET /r/AaravMehta-07/<repo> (Accept: application/json) for any listed repo here: tree, README, price and the checkout to pay (x402; rehearse first at its test twin, simulated money). Repos under 'indexed' are free: clone them from GitHub."}