#MLNET – Hello World in ML.Net, Machine Learning for .Net !

Hi!

I can not wait to start writing a little more about ML.Net. For now just a couple of code snippets to show how simple and fast it can be

Starting with a set of data with ages to classify babies and kids, in a CSV file. All based on my personal criteria

And now a little magic with ML. A .Net Core Console application where we create a LearningPipeline and train it with the previous CSV information

Below we check a couple of predictions with Age Ranges that are not part of the original CSV

I1

Happy coding!

Greetings @ Burlington

El Bruno

References

 

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21 thoughts on “#MLNET – Hello World in ML.Net, Machine Learning for .Net !”

  1. Pingback: #MLNET – Entendiendo el paso a paso del Hola Mundo – El Bruno
  2. Pingback: #MLNET – Understanding the step by step of Hello World – El Bruno
  3. Pingback: #MLNET – Guardando y reutilizando modelos con Machine Learning .Net – El Bruno
  4. Pingback: #MLNET – Write and Load models using Machine Learning .Net – El Bruno
  5. Pingback: #MLNET – Que es un modelo en #MachineLearning? Un video de 7 minutos que es la mejor explicación posible – El Bruno
  6. Pingback: #MLNET – What’s a #MachineLearning model? A 7 minute video as the best possible explanation – El Bruno
  7. Pingback: #MLNET – Novedades en la version 0.2.0 – El Bruno
  8. Pingback: #MLNET – What’s new in version 0.2.0 – El Bruno
  9. Pingback: #MLNET – Cargando datos en nuestra LearningPipeline con List (colecciones for ever!) – El Bruno
  10. Pingback: #MLNET – Loading Data In our LearningPipeline With List (Lists for ever!) – El Bruno
  11. Pingback: #MLNET – Exportando modelos de Machine Learning.Net a formato #ONNX – El Bruno
  12. Pingback: #MLNET – Export Machine Learning.Net models to #ONNX format – El Bruno
  13. Pingback: #MLNET – Cambios en la API con la nueva version 0.6.0 – El Bruno
  14. Pingback: #MLNET – API improvements in the new 0.6.0 version – El Bruno
  15. Pingback: #MLNET – Analizando datos de la Pipeline con la nueva version API 0.6.0 (gracias LINQ!) – El Bruno
  16. Pingback: #MLNET – Analyzing pipeline data in Machine Learning.Net using the new API 0.6.0 (thanks LINQ!) – El Bruno
  17. Pingback: #MLNET – Novedades en la version 0.7 de Machine Learning.Net (la excusa perfecta para actualizar proximos eventos!) – El Bruno
  18. Pingback: #MLNET – New version 0.7 for Machine Learning.Net (the perfect excuse to update my content for next events!) – El Bruno
  19. Pingback: #MLNET – Hello World in ML.Net, Machine Learning for .Net ! – El Bruno - IntelliNova
  20. Pingback: #MLNet – Visualizando datos del Pipeline en la versión 0.7.0 – El Bruno
  21. Pingback: #MLNet – Looking at data in the Pipeline in version 0.7.0 – El Bruno

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