Test-Date-Scientist-2023-SHIMOKU

This repository contains the technical test solution for the Data Scientist position at Shimoku. It includes the following file structure:

A Jupyter notebook named EDA.ipynb that contains exploratory data analysis and the step-by-step construction of the dataset for classification model training.
Output files variables.csv with clean data and variables_numeric.csv that contains the same data in numeric format for direct use in a classification model.
The input files, leads.csv and offers.csv, which contain raw data.
A pandas extension module with functions for analyzing missing data. The module was taken from the resources of the 'Handling Missing Data: Detection and Exploration Course' on Platzi.
The PDF DS Technical Test Q4-2023.pdf containing the test instructions.

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
.gitignore		.gitignore
DS Technical Test Q4-2023.pdf		DS Technical Test Q4-2023.pdf
EDA.ipynb		EDA.ipynb
README.md		README.md
leads.csv		leads.csv
offers.csv		offers.csv
pandas-missing-extension.ipynb		pandas-missing-extension.ipynb
pyproject.toml		pyproject.toml
variables.csv		variables.csv
variables_numeric.csv		variables_numeric.csv

Provide feedback