• Suche: Machine Learning with Regression in Python

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1

BARMPy: Bayesian additive regression models Python package
Van Boxel, Danielle
Computational Statistics. 40(5):2807-2824

Fachzeitschrift
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2

Supervised classification methods with R and Python
Méthodes de classification supervisée avec R et Python
Rey-Dorène, Maxime ; Fatih, Aimane ; Chesneau, Christophe ; et al.
Master. France. 2024

k plus proches voisins (... modèles de régression Forêts aléatoires machines à vecteurs de s... Réseaux de neurones Analyse de données …
Buch
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3

BARMPy: Bayesian Additive Regression Models Python Package
Van Boxel, Danielle

Statistics - Computation Statistics - Machine Lea...
Report
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4

regAL: Python Package for Active Learning of Regression Problems
Surzhikova, Elizaveta ; Proppe, Jonny

Computer Science - Machi... Computer Science - Softw...
Report
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5

milearn: A Python Package for Multi-Instance Machine Learning
Zankov, Dmitry ; Polishchuk, Pavlo ; Sobieraj, Michal ; et al.

Machine Learning
Report
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7

PUNCC: a Python Library for Predictive Uncertainty Calibration and Conformalization
Mendil, Mouhcine ; Mossina, Luca ; Vigouroux, David ; et al.
Conformal and Probabilistic Prediction with Applications, Sep 2023, Limasol, Cyprus

Limasol, Cyprus Uncertainty Quantificati... Conformal prediction Python Library Regression …
Konferenz
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8

Comprehensive analysis of ship detention probabilities using binary logistic regression method with machine learning
Hocek, Hürol ; Yay, Sefa ; Yazir, Devran
In Ocean Engineering 1 January 2025 315

Fachzeitschrift
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9

Who Wins the Race? (R Vs Python) - An Exploratory Study on Energy Consumption of Machine Learning Algorithms
Chattaraj, Rajrupa ; Chimalakonda, Sridhar ; Sharma, Vibhu Saujanya ; et al.

Software Engineering Machine Learning Performance Programming Languages
Report
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11

AllMetrics: A Unified Python Library for Standardized Metric Evaluation and Robust Data Validation in Machine Learning
Alizadeh, Morteza ; Oveisi, Mehrdad ; Falahati, Sonya ; et al.

Computer Science - Machi... F.2.2 I.2.7
Report
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12

shapr: Explaining Machine Learning Models with Conditional Shapley Values in R and Python
Jullum, Martin ; Olsen, Lars Henry Berge ; Lachmann, Jon ; et al.

Computer Science - Machi... Statistics - Computation
Report
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13

DRO: A Python Library for Distributionally Robust Optimization in Machine Learning
Liu, Jiashuo ; Wang, Tianyu ; Lam, Henry ; et al.

Computer Science - Machi... Computer Science - Mathe... Mathematics - Numerical...
Report
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14

SuSi: Supervised Self-Organizing Maps for Regression and Classification in Python
Riese, Felix M. ; Keller, Sina

Computer Science - Machi... Computer Science - Compu... Statistics - Machine Lea...
Report
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15

c-lasso -- a Python package for constrained sparse and robust regression and classification
Simpson, Léo ; Combettes, Patrick L. ; Müller, Christian L.

Statistics - Computation Computer Science - Mathe... Mathematics - Optimizati... Statistics - Machine Lea...
Report
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16

Practical Machine Learning
Nyamawe, Ally S. ; Mjahidi, Mohamedi M. ; Nnko, Noe E. ; et al.

Ethics pre-processing data collection hyperparameter optimizat... data cleaning programming …
E-Book
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17

`python-m5p` - M5 Prime regression trees in python, compliant with scikit-learn
Marié, Sylvain ; Schneider Electric ( SE)

Berlin, Germany Python Regression Tree M5 M5P Data science …
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