Title

Machine Learning Estimators: Implementation and Comparison in Python.

Authors

Merle, Fabian

Abstract

We compare different machine learning estimators and present details about their implementation in Python. The computational studies are conducted for classification as well as regression problems. Moreover, as one of the founding problems of machine learning, we present the specific classification task of handwritten digit recognition. In this connection, we discuss the mathematical formulation and of course the implementation details of this problem. All corresponding Python code is fully provided on request and can be downloaded from the author's GitHub page https://github.com/Fab1Fatal.

Subjects

MACHINE learning; CLASSIFICATION

Publication

Computational Methods in Applied Mathematics, 2025, Vol 25, Issue 1, p153

ISSN

1609-4840

Publication type

Academic Journal

DOI

10.1515/cmam-2023-0198