Alternatives and similar repositories for machine_failure

Users that are interested in machine_failure are comparing it to the libraries listed below

• ashishpatel26 / Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy
  Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy
  ☆127Updated 7 years ago
• JanderHungrige / PumpSensor
  ☆15Updated 4 years ago
• limingwu8 / Predictive-Maintenance
  time-series prediction for predictive maintenance
  ☆51Updated 6 years ago
• sktime / sktime-tutorial-pydata-global-2021
  Introduction to sktime at the PyData Global 2021
  ☆54Updated 3 years ago
• ahmedbesbes / mlflow
  Introduction to MLflow with a demo locally and how to set it on AWS
  ☆42Updated 4 years ago
• Samimust / predictive-maintenance
  Data Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)
  ☆272Updated last year
• vaexio / dash-predictive-maintenance-app
  Dash web app showing when an engine is expected to fail powered by vaex and tf/keras.
  ☆18Updated 4 years ago
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆71Updated 5 years ago
• srivatsan88 / End-to-End-Time-Series
  This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJ…
  ☆265Updated 2 years ago
• vinyluis / Articles
  References to the Medium articles
  ☆87Updated 2 years ago
• ajitsingh98 / Time-Series-Analysis-and-Forecasting-with-Python
  Time Series Analysis and Forecasting in Python
  ☆183Updated last year
• zachrenwick / streamlit_forecasting_app
  This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your ow…
  ☆66Updated last year
• PacktPublishing / Forecasting-Time-Series-Data-with-Facebook-Prophet
  Forecasting Time-Series Data with Facebook Prophet, published by Packt
  ☆105Updated last week
• DataForScience / Timeseries
  Timeseries for everyone
  ☆259Updated 2 years ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆56Updated last year
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆61Updated 2 years ago
• Pradnya1208 / Time-series-forecasting-using-Deep-Learning
  The goal of this notebook is to implement and compare different approaches to predict item-level sales at different store locations.
  ☆36Updated 3 years ago
• gkunapuli / ensemble-methods-notebooks
  A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
  ☆90Updated 2 years ago
• sktime / sktime-tutorial-pydata-amsterdam-2020
  Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020
  ☆124Updated 3 years ago
• BartoszSzablowski / Sell_Out_Sell_In_Forecasting
  Sell Out Sell In Forecasting project implemented at Nestlé
  ☆20Updated 3 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• sophiamyang / sophiamyang.github.io
  ☆28Updated 2 years ago
• solegalli / feature-selection-for-machine-learning
  Code repository for the online course Feature Selection for Machine Learning
  ☆330Updated 10 months ago
• FrancescaLazzeri / Machine-Learning-for-Time-Series-Forecasting
  ☆164Updated 3 years ago
• nagdevAmruthnath / Predictive-Maintenance
  A notebook tutorial series for performing predictive maintenance using machine learning
  ☆151Updated 5 years ago
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆88Updated 6 years ago
• Christophe-pere / Time_series_RNN
  This repository contains the code to generate timeseries prediction with the RNN family
  ☆43Updated 4 years ago
• phylypo / TimeSeriesPrediction
  Time Series Prediction
  ☆48Updated 4 years ago
• ashishpatel26 / Introduction-to-Time-Series-forecasting
  Time Series Analysis of Internation Air Passengers
  ☆40Updated 6 years ago
• 30lm32 / ml-time-series-analysis-on-sales-data
  Time Series Decomposition techniques and random forest algorithm on sales data
  ☆62Updated 3 years ago