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GitHub / lfaferreira / predict-rossmann-store-sales

🏪 The project's idea is to use a machine learning model to predict the sales quantity that each store will have in the next six weeks, assisting managers in their future decision-making.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lfaferreira%2Fpredict-rossmann-store-sales
PURL: pkg:github/lfaferreira/predict-rossmann-store-sales

Stars: 0
Forks: 0
Open issues: 0

License: apache-2.0
Language: Jupyter Notebook
Size: 20.5 MB
Dependencies parsed at: Pending

Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago

Topics: exploratory-data-analysis, kaggle-competition, machine-learning, prediction, prediction-model, python, random-forest-regression, rossmann, rossmann-store-sales, xgboost-regression

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