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GitHub / larenwell / ds-ml-pycaret-latam-airlines-challenge

Repositorio donde se pretende abordar el desafio de LATAM Airlines, el cual consiste en predecir la probabilidad de atraso de los vuelos que aterrizan o despegan del aeropuerto de Santiago de Chile (SCL)

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/larenwell%2Fds-ml-pycaret-latam-airlines-challenge

Stars: 1
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 19.4 MB
Dependencies: 27

Created: over 1 year ago
Updated: over 1 year ago
Last pushed: over 1 year ago
Last synced: 12 months ago

Files

Readme

Dependencies

code/requirements.txt pypi

category-encoders >=2.4.0
imbalanced-learn >=0.8.1
importlib_metadata >=4.12.0
ipython >=5.5.0
ipywidgets >=7.6.5
jinja2 >=1.2
kaleido >=0.2.1
lightgbm >=3.0.0
markupsafe >=2.0.1
matplotlib >=3.3.0
numba *
numpy >=1.21,<1.23
pandas >=1.3.0,<1.6.0
plotly >=5.0.0
plotly-resampler >=0.7.2.2
pmdarima >=1.8.0,
psutil >=5.9.0
pyod >=0.9.8
requests >=2.27.1
schemdraw >=0.14
scikit-learn >=1.0
scikit-plot >=0.3.7
scipy <1.9.0
statsmodels >=0.12.1
tbats >=1.1.0
tqdm >=4.62.0
yellowbrick >=1.4