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142

Python Machine Learning Ed. 3
Raschka, Sebastian ; Mirjalili, Vahid ; Raschka, Sebastian ; et al.

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143

Python Machine Learning Ed. 3
Mirjalili, Vahid ; Mirjalili, Vahid ; Raschka, Sebastian ; et al.

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144

Machine learning-based predictive models for digital behavioral analysis.
Sánchez Cruz, Jennifer Lorena
Data & Metadata. 2025, Vol. 4, p1-8. 8p.

ECUADOR MACHINE learning PREDICTION models DIGITAL technology ECUADORIANS AGE groups …
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145

Python for Machine-Learning Part 1: Introduction.
Yates, Darren
APC (Future Publishing Ltd.); Mar2019, Issue 465, p102-105, 4p, 9 Color Photographs

MACHINE learning PYTHON programming langu...
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146

Data-driven machine learning algorithm model for pneumonia prediction and determinant factor stratification among children aged 6–23 months in Ethiopia.
Demsash, Addisalem Workie ; Abebe, Rediet ; Gezimu, Wubishet ; et al.
BMC Infectious Diseases. 6/26/2025, Vol. 25 Issue 1, p1-19. 19p.

MACHINE learning RANDOM forest algorithms MEDICAL sciences DEEP learning PRINCIPAL components ana...
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147

Introduction to Geometric Learning in Python with Geomstats
MIOLANE, Nina ; GUIGUI, Nicolas ; ZAATITI, Hadi ; et al.

Index Terms-differential... statistics manifold machine learning Mathématiques [math]/Géo... Mathématiques [math]/Sta...
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148

Application of machine learning algorithms to model predictors of informed contraceptive choice among reproductive age women in six high fertility rate sub Sahara Africa countries.
Melaku, Mequannent Sharew ; Yohannes, Lamrot ; Sharew, Berhanu ; et al.
BMC Public Health. 5/29/2025, Vol. 25 Issue 1, p1-17. 17p.

MACHINE learning CONTRACEPTION CONSCIOUSNESS raising UNPLANNED pregnancy PUBLIC health FAMILY planning services
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149

Beyond The Basics: A Detailed Survey of Advanced Python Applications and Innovations
Piyush D. Pitroda ; Bhavika C. Donga ; Dr. Hasmukh B. Domadiya ; et al.
International Journal for Research in Applied Science and Engineering Technology. 12:94-97

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150

AUTOMATED DETECTION OF ANOMALIES IN CORPORATE WIRELESS NETWORK TRAFFIC USING PYTHON: METHODS, IMPLEMENTATION, AND EFFECTIVENESS EVALUATION ; АВТОМАТИЗОВАНЕ ВИЯВЛЕННЯ АНОМАЛІЙ У ТРАФІКУ КОРПОРАТИВНИХ БЕЗДРОТОВИХ МЕРЕЖ ЗА ДОПОМОГОЮ PYTHON: МЕТОДИ, РЕАЛІЗАЦІЯ ТА ОЦІНКА ЕФЕКТИВНОСТІ
Соболенко , Ізабелла ; Платоненко, Артем
Electronic Professional Scientific Journal «Cybersecurity: Education, Science, Technique»; Vol. 1 No. 29 (2025): Cybersecurity: Education, Science, Technique; 777-788 ; Електронне фахове наукове видання «Кібербезпека: освіта, наука, техніка»; Том 1 № 29 (2025): Кібербезпека: освіта, наука, техніка; 777-788 ; 2663-4023 ; 10.28925/2663-4023.2025.29

anomaly detection wireless networks machine learning XGBoost CNN-GRU SHAP …
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152

hep-aid: A Python Library for Sample Efficient Parameter Scans in Beyond the Standard Model Phenomenology
Diaz, Mauricio A. ; Dasmahapatra, Srinandan ; Moretti, Stefano

High Energy Physics - Ph...
Report
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153

Introduction to astroML: Machine Learning for Astrophysics
VanderPlas, Jacob T. ; Connolly, Andrew J. ; Ivezic, Zeljko ; et al.

Astrophysics - Instrumen...
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155

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156

Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial
Smith M.J ; Mansournia M.A ; Maringe C ; et al.
Statistics in Medicine, 41(2)

intensive care medicine Probability causality sensitivity analysis maximum likelihood metho... article …
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157

Introduction to Python
Leila Etaati
Machine Learning with Microsoft Technologies ISBN: 9781484236574

3. Good health
Buch
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158

特許調査のためのプログラム事例紹介.
安藤俊幸
Journal of Information Science & Technology Association / Joho no Kagaku to Gijutsu. Apr2020, Vol. 70 Issue 4, p203-207. 5p.

Machine learning Vocabulary
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159

Transferable and Scalable Electronic Structure Simulations Powered by Machine Learning
(0000-0002-8311-0613) Fiedler, L. ; (0000-0002-8311-0613) Fiedler, L.
Physikalisches Kolloqium, 29.01.2025, Freiberg, Deutschland

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