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Project description

Thorreznou Library 🖥

Bootcamp Data Science | Full Time Class - November 2021

Library for machine learning projects with Python. The aim is to speed up the work process to the repetitive tasks that the data scientist usually carries out. The library has three parts: EDA, ML and VIZ. Each part focuses on a field of work, exploratory data analysis, machine learning, visualisation.


  • visualizeME_palettes_or_colors
  • visualizeME_and_describe_violinbox
  • visualizeME_and_describe_barplot
  • visualizeME_FigureWords
  • visualizeME_bagel_look_top
  • visualizeME_and_describe_Spidey
  • visualizeME_c_matrix
  • visualizeME_scores_models

Exploratory Data Analysis (EDA)

  • resize_image
  • standarize_numbers
  • coordinates
  • reduce_img
  • process_color
  • reduce_col_palette
  • math_expect
  • overview
  • outlier_removal
  • datetime_into_columns
  • missing_data

Machine Learning

  • divide
  • prepare_data
  • model_scoring_classification
  • model_scoring_regression
  • random_forest_classif
  • SVC1
  • LogistRegress
  • corr_target
  • knn
  • poly_reg
  • lin_reg

Launch library

pip install thorreznou


Authors 🕶

  • Group VIS: Marta, Natalia, Óscar
  • Group EDA: David, Isabella, Jorge
  • Group ML: Dani, Fer, Ana
  • Group LAUNCH: Javi, Fede, Erik
  • Project Manager: Miguel

Project details

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Thorreznou-0.1.14.tar.gz (143.2 kB view hashes)

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