predict-failures

There are 0 repository under predict-failures topic.

iameminmammadov / dash-predictive-maintenance
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.
rul wind-turbines xgboost predict-failures dashboard
Language:Python 33
satyajeetmaharana / harddrivefailureprediction
In this project, we analyze and compare the performance of various machine learning algorithms (Linear Regression, Decision Tree, AdaBoost, XGBoost, Gradient Boosting and k- Nearest Neighbors) when used to predict hard drive failures using Backblaze data in the year 2018.
predict-failures backblaze-data drive-failures data-center monitoring machine-learning adaboost-learning data-mining data-science business-analytics
Language:HTML 1
yagli18 / Predictive-Maintenance-Model
classification predict-failures
Language:Jupyter Notebook

iameminmammadov / dash-predictive-maintenance