https://github.com/anras5/criteo-search-data

EDA and statistical tests on CriteoSearchData dataset
https://github.com/anras5/criteo-search-data

data-science pandas scikit-learn statistics

Last synced: about 1 month ago
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EDA and statistical tests on CriteoSearchData dataset

• Host: GitHub
• URL: https://github.com/anras5/criteo-search-data
• Owner: anras5
• License: mit
• Created: 2022-05-31T11:51:06.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2024-09-19T09:15:16.000Z (almost 2 years ago)
• Last Synced: 2025-01-21T17:49:59.143Z (over 1 year ago)
• Topics: data-science, pandas, scikit-learn, statistics
• Language: Jupyter Notebook
• Homepage:
• Size: 11.3 MB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# CRITEO SPONSORED SEARCH CONVERSION LOG DATASET

# Description

This project presents EDA (Exploratory Data Analysis), elements of feature engineering and statistical testing of the "CRITEO SPONSORED SEARCH CONVERSION LOG DATASET"

All the information can be found in the ` main_notebook.ipynb`.

# How to run

1. Install `uv` for Python management.

2. Install dependencies with `uv sync`.

3. Run the Jupyter Lab with `uv run jupyter lab`.