How To Develop a Machine Learning Model From Scratch

Victor Roman
Towards Data Science
16 min readDec 23, 2018

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In this article we are going to study in depth how the process for developing a machine learning model is done. There will be a lot of concepts explained and we will reserve others, that are more specific, to future articles.

Concretely, in the article it will be discussed how to:

  • Define adequately our problem (objective, desired outputs…).
  • Gather data.
  • Choose a measure of success.
  • Set an evaluation protocol and the different protocols…

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Industrial Engineer and passionate about 4.0 Industry. My goal is to encourage people to learn and explore its technologies and their infinite posibilites.