• Suche: Machine Learning with Regression in Python

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121

Predictors of Medical and Dental Clinic Closure by Machine Learning Methods: Cross-Sectional Study Using Empirical Data.
Park, Young-Taek ; Kim, Donghan ; Jeon, Ji Soo ; et al.
Journal of Medical Internet Research. 2024, Vol. 26, p1-12. 12p.

Health care rationing Support vector machines Running techniques Propensity score matchin... Python programming langu...
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123

Python‐Driven Multivariate Analysis: A Comprehensive Approach to Sustainable Groundwater Quality Assessment for Irrigation Purposes.
K. N., Jakir Hussain ; B. R., Jagadeesh ; Channavar, Vijayakumari Raveendra ; et al.
CLEAN: Soil, Air, Water. Dec2025, Vol. 53 Issue 12, p1-15. 15p.

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124

Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python
Ge, Jason ; Li, Xingguo ; Jiang, Haoming ; et al.
Journal of Machine Learning Research 20 (2019): 44-1

Statistics - Machine Lea... Computer Science - Machi... Mathematics - Optimizati...
Report
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125

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127

Mechanical submodels driven by machine learning : application to structural dynamics
Sous-modèles mécaniques pilotés par machine learning : application à la dynamique des structures
Boukraichi, Hamza ; Centre des Matériaux (MAT) ; Mines Paris - PSL (École nationale supérieure des mines de Paris) ; et al.
Materials. Université Paris sciences et lettres, 2023. English. ⟨NNT : 2023UPSLM003⟩

Uncertainty quantificati... Regression model Supervised learning Structural zoom Submodeling Generative models …
Dissertation
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128

Discrete-time Competing-Risks Regression with or without Penalization
Meir, Tomer ; Gorfine, Malka
Biometrics, Volume 81, Issue 2, June 2025

Statistics - Methodology Statistics - Machine Lea...
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129

Development of Machine Learning Regression Models to Assess Von Mises Stresses of Miter Bend
Rathod, Nirav ; Patel, Dilip
Journal of The Institution of Engineers (India): Series C: Mechanical, Production, Aerospace and Marine Engineering. 106(3):749-764

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130

Characterizing instance hardness in classification and regression problems
Torquette, Gustavo P. ; Nunes, Victor S. ; Paiva, Pedro Y. A. ; et al.

Computer Science - Machi...
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131

Application of machine learning for predictions of consecutive dependent data of type{[(a, b)→c]→d}
Quevedo Piratova, Diego Alexander ; Londoño Villalba, Jhon Uberney ; Gonzalez Gomez, Arnaldo Andres ; et al.
Tecnura: Tecnología y Cultura Afirmando el Conocimiento, ISSN 0123-921X, Vol. 28, Nº. 79, 2024, pags. 66-86

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132

Assessment of ridge regression-based machine learning model for the prediction of automotive sales based on the customer requirements
Akash, C. Renga ; Vivekanandhan, P. K. ; Adam Khan, M. ; et al.
Interactions. 245(1)

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133

Anisotropic cosmology using observational datasets: exploring via machine learning approaches
Bhardwaj, Vinod Kumar ; Kalra, Manish ; Garg, Priyanka ; et al.
Physics of the Dark Universe 49 (2025) 102012

General Relativity and Q... Cosmology and Nongalacti...
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134

Algorithmic Trading Strategies: Leveraging Machine Learning Models for Enhanced Performance in the US Stock Market
Nisha Gurung ; MD Rokibul Hasan ; Md Sumon Gazi ; et al.
Journal of Business and Management Studies; Vol. 6 No. 2; 132-143; 2709-0876

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135

The alchemy of accuracy: machine learning illuminates audit fees in emerging markets
Khanmohammadi, Mohammadhamed ; Salehi, Mahdi ; Hassani, Mohammad ; et al.
Journal of Revenue and Pricing Management. :1-14

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136

Machine learning for predicting DataCube atomic force microscope (AFM)—MultiDAT-AFM
Germanicus, Rosine Coq ; Othman, El-Hassani ; Laboratoire de cristallographie et sciences des matériaux (CRISMAT) ; et al.
ISTFA 2024 - the 50th International Symposium for Testing and Failure Analysis Conference. :351-357

San Diego, United States [PHYS]Physics [physics]
Konferenz
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137

Kernel-Based Ensemble Learning in Python
Guedj, Benjamin ; Desikan, Bhargav Srinivasa
Information 2020, 11(2)

Computer Science - Machi... Statistics - Computation Statistics - Machine Lea...
Report
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138

Integrating machine learning and symbolic regression for predicting damage initiation in hybrid FRP bolted connections
Sorour, Sherif Samy ; Saleh, Chahinaz Abdelrahman ; Shazly, Mostafa
Scientific Reports. 15(1)

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139

Regresión Logística Técnica de Machine Learning para predicciones académicas
Becerra Correa, Nelson ; Leguizamón Páez, Miguel Ángel ; Becerra Correa, Nelson ; et al.
XIKUA Boletín Científico de la Escuela Superior de Tlahuelilpan, ISSN 2007-4948, Nº. 12, 2024 (Ejemplar dedicado a: Special (July)), pags. 71-80

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