Suchergebnisse - (( (stateen OR statepoint) python code analysis ) OR ( stat python code analysis ))~

Time Series Analysis with Python Cookbook : Practical Recipes for the Complete Time Series Workflow, From Modern Data Engineering to Advanced Forecasting and Anomaly Detection

Autoren: Tarek A. Atwan

Resource Type: eBook.

Categories: COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Analytics

Automation of Software Code Analysis Using Machine Learning Methods.

Autoren: Moshkin, V. S. Dyrnochkin, A. A. Yarushkina, N. G.

Quelle: Pattern Recognition & Image Analysis; Sep2023, Vol. 33 Issue 3, p417-424, 8p

ImmobileParticles_MatchAndAnalyse: python code used for analysis of image data in Lenz et al. 2021, 'Measuring impacts of microplastic treatments via image recognition on immobilised particles below 100 µm'

Autoren: Lenz, Robin Enders, Kristina Fischer, Franziska et al.

Schlagwörter: microplastics microscopy image analysis python altair, scipo, stat

Relation: https://zenodo.org/record/4592320

Verfügbarkeit: https://zenodo.org/record/4592320

Primary data for BJC Carbonic anhydrase IX is a pH-stat that sets an acidic tumour extracellular pH in vivo

Autoren: Griffiths, JR Lee, Shen-Han McIntyre, Dominick John et al.

Index Begriffe: Carbonic anhydrase IX, Extracellular pH, Intracellular pH, ISUCA, Magnetic Resonance Spectroscopy, MRS, pH-stat, Tumour pH, Dataset

URL: https://www.repository.cam.ac.uk/handle/1810/361916
https://doi.org/10.17863/CAM.26029
https://doi.org/10.1038/s41416-018-0216-5
https://www.repository.cam.ac.uk/handle/1810/287141
https://doi.org/10.1038/s41416-018-0216-5
https://www.repository.cam.ac.uk/handle/1810/287141

Text Analysis with Python: A Research Oriented Guide

Autoren: Mamta, Mittal Gopi, Battineni Bhimavarapu, Usharani et al.

Resource Type: eBook.

Schlagworte: Programming languages (Electronic computers), Python (Computer program language), Text processing (Computer science)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Artificial Intelligence / General

A Short Guide to Using Python For Data Analysis In Experimental Physics

Autoren: Fortune, Nathanael Alexander

Quelle: Physics: Faculty Publications

Schlagwörter: DATA ANALYSIS, NUMPY, PHYSICS, PYTHON, SCIPY, Computer Sciences, stat, edu

Relation: https://scholarworks.smith.edu/phy_facpubs/30

Verfügbarkeit: https://scholarworks.smith.edu/phy_facpubs/30

pyjeo: A Python Package for the Analysis of Geospatial Data

Autoren: Pieter Kempeneers Ondrej Pesek Davide De Marchi et al.

Quelle: ISPRS International Journal of Geo-Information, Vol 8, Iss 10, p 461 (2019)

Schlagwörter: open-source software, geospatial data, image processing, stat, geo

Relation: https://doaj.org/article/352223c398b04d87ade0a49b91244b53

Verfügbarkeit: https://doi.org/10.3390/ijgi8100461
https://doaj.org/article/352223c398b04d87ade0a49b91244b53

Linear Regression With Python : A Tutorial Introduction to the Mathematics of Regression Analysis

Autoren: James V Stone

Resource Type: eBook.

Categories: MATHEMATICS / Probability & Statistics / Regression Analysis, COMPUTERS / Languages / Python, MATHEMATICS / Probability & Statistics / General

Uncertainty quantification for severe-accident reactor modelling: Results and conclusions of the MUSA reactor applications work package

Autoren: Brumm, S. Gabrielli, F. Sanchez Espinoza, V. et al.

Weitere Verfasser: Brumm, S. Gabrielli, F. Sanchez Espinoza, V. et al.

Quelle: ISSN: 0306-4549 ; Annals of Nuclear Energy ; https://hal.science/hal-04777159 ; Annals of Nuclear Energy, 2025, 211, pp.110962. ⟨10.1016/j.anucene.2024.110962⟩.

Schlagwörter: Nuclear reactor, Severe accident, Modelling, Uncertainty quantification, MUSA, Source Term, [PHYS]Physics [physics], [SPI]Engineering Sciences [physics], [STAT]Statistics [stat]

Relation: info:eu-repo/grantAgreement//847441/EU/Euratom research and training programme 2014 – 2018/Euratom

Verfügbarkeit: https://hal.science/hal-04777159
https://hal.science/hal-04777159v1/document
https://hal.science/hal-04777159v1/file/Final_version_ANE20225.pdf
https://doi.org/10.1016/j.anucene.2024.110962

Applied Time Series Analysis and Forecasting with Python

Autoren: Changquan Huang Alla Petukhina

Resource Type: eBook.

Schlagworte: Python (Computer program language), Time-series analysis, Time-series analysis--Forecasting, Time-series analysis--Computer programs

Categories: MATHEMATICS / Probability & Statistics / General, BUSINESS & ECONOMICS / Econometrics, BUSINESS & ECONOMICS / Statistics, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Languages / Python, COMPUTERS / Mathematical & Statistical Software

Time Series Analysis with Python Cookbook : Practical Recipes for Exploratory Data Analysis, Data Preparation, Forecasting, and Model Evaluation

Autoren: Tarek A. Atwan

Resource Type: eBook.

Schlagworte: Machine learning, Python (Computer program language)

Categories: COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / Data Warehousing, COMPUTERS / Languages / Python

Python How-To : 63 Techniques to Improve Your Python Code

Autoren: Yong Cui

Resource Type: eBook.

Schlagworte: Python (Computer program language), Computer programming, Video games--Programming

Categories: COMPUTERS / Languages / Python, COMPUTERS / Data Science / General, COMPUTERS / Internet / Web Programming

A comparison of machine learning algorithms for survival with missing data ; Une comparaison des algorithmes d'apprentissage pour la survie avec données manquantes

Autoren: Dufossé, Paul Benzekry, Sébastien Aix Marseille Université (AMU) et al.

Weitere Verfasser: Dufossé, Paul Benzekry, Sébastien Aix Marseille Université (AMU) et al.

Quelle: 54es Journées de Statistique de la SFdS
JDS 2023 - 54e Journées de Statistique de la SFds
https://hal.science/hal-04384220
JDS 2023 - 54e Journées de Statistique de la SFds, SFdS, Jul 2023, Bruxelles (BEL), Belgique. ⟨10.48550/arXiv.2303.13590⟩

Schlagwörter: Machine Learning (stat.ML), Machine Learning (cs.LG), Machine learning, neural networks, survival data, simulated data, missing data, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [STAT.AP]Statistics [stat]/Applications [stat.AP]

Geographisches Schlagwort: Bruxelles (BEL), Belgium

Verfügbarkeit: https://hal.science/hal-04384220
https://hal.science/hal-04384220v1/document
https://hal.science/hal-04384220v1/file/preprint_arxiv.pdf
https://doi.org/10.48550/arXiv.2303.13590

Prediction of Positive Patient Health Questionnaire-2 Screening Using Area Deprivation Index in Primary Care.

Autoren: Duarte, Martha Salamanca, Mayra Gonzalez, Juan M. et al.

Quelle: Clinical Nursing Research. Jun2024, Vol. 33 Issue 5, p355-369. 15p.

Schlagwörter: *MENTAL depression risk factors, *RISK assessment, *PREDICTION models, *SOCIAL determinants of health, *RECEIVER operating characteristic curves, *QUESTIONNAIRES, *PRIMARY health care, *RETROSPECTIVE studies, *QUANTITATIVE research, *DESCRIPTIVE statistics, *NURSING interventions, *SURVEYS, *HEALTH behavior, *MEDICAL records, *ACQUISITION of data, *SOCIODEMOGRAPHIC factors, *MACHINE learning, *DATA analysis software, *ACCURACY, *COMPARATIVE studies, *SOCIAL classes, *SENSITIVITY & specificity (Statistics), *SOCIAL isolation, *ALGORITHMS, *REGRESSION analysis, *MENTAL depression, *EVALUATION

Geografische Kategorien: FLORIDA

Extended sample size calculations for evaluation of prediction models using a threshold for classification.

Autoren: Whittle R Ensor J Archer L et al.

Quelle: BMC medical research methodology [BMC Med Res Methodol] 2025 Jul 01; Vol. 25 (1), pp. 170. Date of Electronic Publication: 2025 Jul 01.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE

MeSH-Schlagworte: Models, Statistical*, Sample Size ; Humans ; Predictive Value of Tests ; Risk Assessment/methods ; Sensitivity and Specificity ; Algorithms

Software Design for Python Programmers : Principles and Patterns

Autoren: Ronald Mak

Resource Type: eBook.

Categories: COMPUTERS / Languages / Python, COMPUTERS / Programming / Object Oriented, COMPUTERS / Software Development & Engineering / Systems Analysis & Design

Prediction of Chemically Modified Antimicrobial Peptides and Their Sub-functional Activities Using Hybrid Features.

Autoren: Yao Y Zhang D Fan H et al.

Quelle: Probiotics and antimicrobial proteins [Probiotics Antimicrob Proteins] 2025 May 21. Date of Electronic Publication: 2025 May 21.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Springer Country of Publication: United States NLM ID: 101484100 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-1314 (Electronic) Linking ISSN: 18671306 NLM ISO Abbreviation: Probiotics Antimicrob Proteins Subsets: MEDLINE

Data and code for project 'What makes users click: The effect of news values negativity and surprise in news headlines on selection likelihood'

Autoren: Femke Kok Emily Kruidhof

Schlagwörter: stat, info

Relation: https://zenodo.org/record/5940294

Verfügbarkeit: https://zenodo.org/record/5940294

Statistics Every Programmer Needs

Autoren: Gary Sutton

Resource Type: eBook.

Categories: COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Languages / Python

Phenotype structuring in collective cell migration: a tutorial of mathematical models and methods.

Autoren: Lorenzi T Painter KJ Villa C

Quelle: Journal of mathematical biology [J Math Biol] 2025 May 16; Vol. 90 (6), pp. 61. Date of Electronic Publication: 2025 May 16.

Publikationsart: Journal Article; Review

Info zur Zeitschrift: Publisher: Springer Verlag Country of Publication: Germany NLM ID: 7502105 Publication Model: Electronic Cited Medium: Internet ISSN: 1432-1416 (Electronic) Linking ISSN: 03036812 NLM ISO Abbreviation: J Math Biol Subsets: MEDLINE

MeSH-Schlagworte: Cell Movement*/physiology , Models, Biological*, Phenotype ; Humans ; Mathematical Concepts ; Computer Simulation ; Animals ; Neoplasms/pathology