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8 Steps to run Data Science project

hasansajedi profile image Hasan Sajedi ・1 min read

We will follow the general machine learning workflow step-by-step:

  • Problem Definition
  • Data cleaning and formatting
  • Exploratory data analysis
  • Feature engineering and selection
  • Compare several machine learning models on a performance metric
  • Perform hyperparameter tuning on the best model
  • Evaluate the best model on the testing set
  • Interpret the model results
  • Draw conclusions and document work

Discussion

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Anthony Bouvier

Is this the beginning of a series? Is this the whole article? I'm a bit confused.

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Hasan Sajedi Author

Yes, This only steps for Start data science project.
You can use this steps for create project.
Soon i send article that develope data science project step by step.

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Anthony Bouvier

You might want to mention that. This just looks like you accidentally published this prematurely.

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Matt Curcio

Gentle Blogger of Data Science,
May I suggest a book.

I think Max Kuhn has a ton of great ideas in his book,
"Applied Predictive Modeling", DOI 10.1007/978-1-4614-6849-3.

It's worth a look. :)