{"owner":"iameminmammadov","github":"https://github.com/iameminmammadov","claimed":false,"inventory":[],"indexed":[{"repo":"iameminmammadov/dash-predictive-maintenance","github":"https://github.com/iameminmammadov/dash-predictive-maintenance","description":"Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To predict the date when equipment will completely fail (RUL), XGBoost is used and achieved RMSE error is 0.033964 days, which is highly accurate.","language":"Python","stars":60,"topics":["rul","wind-turbines","xgboost","predict-failures","dashboard"],"license":null,"category":"dashboards-admin"}],"how_to_buy":"GET /r/iameminmammadov/<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."}