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Scientific programming through the SKLearn / Scikitlearn library

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jesussantana/SkLearn-Train-Test

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forthebadge made-with-python

Made withJupyter

wakatime

Linkedin: JesusSantana

GitHub JesusSantana

Description

Familiarize yourself with scientific programming through the SKLearn / Scikitlearn library

Level 1

  • Exercise 1:
    • Split the DelayedFlights.csv dataset into train and test. Study the two sets separately, at a descriptive level.

Level 2

  • Exercise 2:
    • Apply some transformation process (standardize numerical data, create dummy columns, polynomials.

Level 3

  • Exercise 3:
    • Summarize the new columns generated statistically and graphically

Targets

  • Preprocessing
  • Transformation
  • Dummy Variable
  • Train and Test

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