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GitHub / srivatsakoustub / BIG-MART-SALES-PREDICTION

conducted in-depth analysis of a large dataset containing historical sales data, product attributes and store information. --> Developed and implemented machine learning models, including regression algorithms, to accurately forecast sales for different products and stores and we finally obtained a better result through random forest regression alg

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Stars: 0
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 893 KB
Dependencies: pending

Created: 8 months ago
Updated: 8 months ago
Last pushed: 8 months ago
Last synced: 8 months ago

Topics: klib, linear-regression, log, python, random-forest, xgboost-model

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