• Suche: Python Machine Learning By Example

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41

Machine Learning Using Python
Siranush Sargsyan ; Anna Hovakimyan ; Sonik Hakobyan ; et al.

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42

Detecting Refactoring Commits in Machine Learning Python Projects: A Machine Learning-Based Approach
Shayan Noei ; Heng Li ; Ying Zou
ACM Transactions on Software Engineering and Methodology. 34:1-25

Software Engineering (cs... FOS: Computer and inform... Computer Science - Softw... 0202 electrical engineer... 02 engineering and techn...
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43

PYTHON-BASED NEURAL NETWORKS FROM SCRATCH: A HANDS-ON DEEP LEARNING GUIDE
Prof. Dr. KANTHAVEL R ; Dr. DHAYA R ; Dr. ADLINE FREEDA ; et al.

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44

Hands-On Network Machine Learning with Python
Eric W. Bridgeford ; Alexander R. Loftus ; Joshua T. Vogelstein ; et al.

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46

MLatom Software Ecosystem for Surface Hopping Dynamics in Python with Quantum Mechanical and Machine Learning Methods
Zhang, Lina ; Pios, Sebastian V. ; Martyka, Mikołaj ; et al.
Journal of Chemical Theory and Computation. 20(12):5043-5057

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47

PyGRF: An Improved Python Geographical Random Forest Model and Case Studies in Public Health and Natural Disasters.
Sun, Kai ; Zhou, Ryan Zhenqi ; Kim, Jiyeon ; et al.
Transactions in GIS. Nov2024, Vol. 28 Issue 7, p2476-2491. 16p.

NATURAL disasters MACHINE learning RANDOM forest algorithms PUBLIC health PYTHONS
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48

The Role of Advanced Anomaly Detection in Transforming Program Management in Government with Scikit-Learn, A Machine Learning Library in Python
Chiedozie M. Okafor ; Owolabi Ogunse ; Mercy Nneoma Iheke ; et al.
International Journal of Research and Scientific Innovation. :148-165

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49

PySHRED: A Python package for SHallow REcurrent Decoding for sparse sensing, model reduction and scientific discovery
Ye, David ; Williams, Jan ; Gao, Mars ; et al.

Machine Learning Computational Engineerin... Dynamical Systems Chaotic Dynamics
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50

SeisAug: A data augmentation python toolkit
Pragnath, D. ; Srijayanthi, G. ; Kumar, Santosh ; et al.
In Applied Computing and Geosciences February 2025 25

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51

Introduction to Machine Learning Using Python
Vamsi Krishna ; G, LAKSHMI VARA PRASAD ; Madhurai Muthu, Muthamizh selvam ; et al.

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52

USE OF MACHINE LEARNING TOOLS AND PYTHON LIBRARIES FOR PREDICTION THROUGH REGRESSIONS
Hanna Telychko ; Yakiv (Jacob) Baytelman ; Daria Zhukovska
Scientific Papers of Donetsk National Technical University” Series “Computer Engineering and Automation. 1:4-11

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53

LSI with Support Vector Machine for Text Categorization – a practical example with Python
József Dr. Menyhárt ; Joao Henrique Gomes Da Costa Cavalcanti
International Journal of Engineering and Management Sciences, Vol 6, Iss 3 (2021)

Technology Support Vector Machine Text Categorization Industries. Land use. La... Machine learning HD28-9999
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54

Sparklen: A Statistical Learning Toolkit for High-Dimensional Hawkes Processes in Python
Lacoste, Romain Edmond ; Laboratoire Analyse et de Mathématiques Appliquées (LAMA) ; Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Université Gustave Eiffel

Hawkes processes High-dimension Exponential kernel Empirical risk minimizat... Maximum likelihood estim... Regularization …
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56

LSI with Support Vector Machine for Text Categorization – a practical example with Python
Joao Henrique Gomes Da Costa Cavalcanti ; József Menyhárt
International Journal of Engineering and Management Sciences, Vol 6, Iss 3 (2021)

Machine learning Support Vector Machine Text Categorization Technology Industries. Land use. La... HD28-9999
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57

PyPOTS: A Python Toolkit for Machine Learning on Partially-Observed Time Series
Du, Wenjie ; Yang, Yiyuan ; Qian, Linglong ; et al.

Machine Learning
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58

Geomstats: A Python Package for Riemannian Geometry in Machine Learning
Miolane, Nina ; Guigui, Nicolas ; Le Brigant, Alice ; et al.
Journal of Machine Learning Research. 21(223):1-9

differential geometry Riemannian geometry statistics machine learning manifold [INFO]Computer Science [... …
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59

Mastering Deep Learning
Simon, Daniel ; Simon, Daniel

Machine Learning Deep Learning Neural Networks Artificial Intelligence Education Python
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60

Raising a Model for Fake News Detection Using Machine Learning in Python
Agudelo, Gerardo ; Parra, Octavio ; Velandia, Julio ; et al.
17th Conference on e-Business. :596-604

Kuwait City, Kuwait Fake news Machine learning NLTK Sklearn [INFO]Computer Science [... …
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