ML-DL-implementation Implement Decision Tree Regressor and Random Forest Regressor

Implement Decision Tree Regressor and Random Forest Regressor

Open kwanit1142 opened this issue 3 years ago • 2 comments

Reference :-

https://towardsdatascience.com/regression-tree-in-python-from-scratch-9b7b64c815e3 <----- (This can be sufficient for Random Forest as well as Decision Tree too)

Requirement :-

See KNN as Classifier and Regressor, in models.py, where the mode can be switched by changing the boolean value of the "classify" argument.

Sep 27 '21 10:09 kwanit1142

Please assign this issue to me.

Jan 02 '23 15:01 Shubh-Goyal-07

Sure, go ahead :D

Jan 02 '23 16:01 kwanit1142

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Implement Decision Tree Regressor and Random Forest Regressor

ML-DL-implementation
ML-DL-implementation copied to clipboard