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Applied Data Science

Pipeline end-to-end: pandas/numpy, EDA, feature engineering, ML deploy, dashboard. From 5,340 classified files in the dataset.

ArticlesPublished 7
Main Tag#data-science

Prerequisites

  • Intermediate Python
  • Basic Statistics

What you'll learn

  • Build Pipeline from EDA to ML to Dashboard
  • Professional feature engineering
  • Validate Business Models
  • Communicate insights with storytelling

Notify articles from Federico Calo's blog on GitHub with Angular and Spring Boot integrationApplied Data Science

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