DeeptiChevvuri / Predictive-Maintenance-Modelling-Datasets
This model comprises of Manufacturing units dataset , sources are telemetry , machine failure , error logs , maintenance and machines configuration(age).
☆29Updated last year
Alternatives and similar repositories for Predictive-Maintenance-Modelling-Datasets:
Users that are interested in Predictive-Maintenance-Modelling-Datasets are comparing it to the libraries listed below
- time-series prediction for predictive maintenance☆49Updated 6 years ago
- Leveraging Deep Learning Solutions for Predictive Maintenance of Batteries in Industrial Datasets☆29Updated 7 years ago
- MachineLearningSamples-PredictiveMaitenance☆67Updated 5 years ago
- Source Code for 'Beginning Anomaly Detection Using Python-Based Deep Learning' by Sridhar Alla and Suman Kalyan Adari☆84Updated 5 years ago
- MachineLearningSamples-DeepLearningforPredictiveMaintenance☆75Updated 5 years ago
- Curated list of predictive maintenance research and repositories.☆18Updated 5 years ago
- Predictive Maintenance using Pyspark☆125Updated 6 years ago
- An LSTM Autoencoder for rare event classification☆106Updated 5 years ago
- A notebook tutorial series for performing predictive maintenance using machine learning☆145Updated 4 years ago
- LSTM for time series forecasting☆28Updated 7 years ago
- Predictive Maintenance System for Digital Factory Automation☆44Updated 5 years ago
- Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy☆121Updated 7 years ago
- ☆45Updated 2 years ago
- Winners of the Power Laws forecasting competition☆65Updated last year
- Demand Forecasting Models for Kaggle competition☆81Updated 6 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆25Updated 5 years ago
- ☆16Updated 7 months ago
- Demonstration of MapR for Industrial IoT☆113Updated 2 years ago
- Forecasting Uber demand in NYC neighborhoods☆34Updated 7 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆46Updated 7 years ago
- Use of time series modelling tools including ARIMA, LSTM, and Monte Carlo simulation to model electricity consumption, rainfall and tempe…☆47Updated last year
- Variational deep autoencoder to predict churn customer☆29Updated 7 years ago
- Dockerize and deploy machine learning model as REST API using Flask☆77Updated last year
- Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…☆15Updated last year
- This workshop will familiarize you with some of the key steps towards building an end-to-end predictive maintenance system leveraging Ama…☆27Updated 4 years ago
- Method for Predicting failures in Equipment using Sensor data. Sensors mounted on devices like IoT devices, Automated manufacturing like …☆110Updated last year
- Hands on Unsupervised Learning with Python [Video], Published by Packt☆29Updated 2 years ago
- demo of a predictive maintenance strategy on mock data for upstream oil & gas☆13Updated 6 years ago
- LSTMS for Predictive Maintenance☆332Updated 7 years ago
- ☆40Updated 7 years ago