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GitHub / Cintia0528 / Data_Science-Supervised_Machine_Learning_Classification_Housing

The projects aim is to find the to best ML algorithm evaluated on its efficiency in predicting whether homes should be classified as expensive or not expensive.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Cintia0528%2FData_Science-Supervised_Machine_Learning_Classification_Housing

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 245 KB
Dependencies parsed at: Pending

Created at: over 1 year ago
Updated at: about 1 year ago
Pushed at: over 1 year ago
Last synced at: 21 days ago

Topics: classification, lazypredict, machinelearning-python, supervised-machine-learning, xgboost-algorithm

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