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Building Predictive Maintenance Model Using ML.NET

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1 Mar 2020CPOL4 min read 15.1K   3  
Notebook completely implemented on .NET platform using C# Jupyter Notebook and Daany
This C# notebook shows how to use .NET Jupyter Notebook with Daany.DataFrame and ML.NET in order to prepare the data and build the Predictive Maintenance Model on .NET platform. This post is a continuation from the previous blog post, Predictive Maintenance on .NET Platform. In this part, we are going to perform a part of the machine learning task and start training a machine learning model for predicting if a certain machine will fail in the next 24 hours due to failure, or it will be functioning normally in that time period.

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)


Written By
Bahrudin Hrnjica
Software Developer (Senior)
Bosnia and Herzegovina Bosnia and Herzegovina
Bahrudin Hrnjica holds a Ph.D. degree in Technical Science/Engineering from University in Bihać.
Besides teaching at University, he is in the software industry for more than two decades, focusing on development technologies e.g. .NET, Visual Studio, Desktop/Web/Cloud solutions.

He works on the development and application of different ML algorithms. In the development of ML-oriented solutions and modeling, he has more than 10 years of experience. His field of interest is also the development of predictive models with the ML.NET and Keras, but also actively develop two ML-based .NET open source projects: GPdotNET-genetic programming tool and ANNdotNET - deep learning tool on .NET platform. He works in multidisciplinary teams with the mission of optimizing and selecting the ML algorithms to build ML models.

He is the author of several books, and many online articles, writes a blog at http://bhrnjica.net, regularly holds lectures at local and regional conferences, User groups and Code Camp gatherings, and is also the founder of the Bihac Developer Meetup Group. Microsoft recognizes his work and awarded him with the prestigious Microsoft MVP title for the first time in 2011, which he still holds today.

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Posted 1 Mar 2020

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