Polynomial regression and classification with sklearn and tensorflow
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Updated
Nov 9, 2023 - Python
Polynomial regression and classification with sklearn and tensorflow
A scikit-learn-compatible module for Isolation-based anomaly detection using nearest-neighbor ensembles
A hyperopt wrapper - simplifying hyperparameter tuning with Scikit-learn style estimators.
Improvement and Implementation of Paper 'Identification of ATP binding residues of a protein from its primary sequence'
combination of EvalML with Rapids for the WiDS 2021 competition
library for basic data science tasks.
A repo that contains helpers for machine learning modeling
🔴 dred = dimension reducing for machine learning (suit to sklearn)
scikit-learn compatible estimators for various kNN imputation methods
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