Suchergebnisse - Python data modeling

Practical time series analysis: master time series data processing, visualization, and modeling using Python von Pal, Dr. Avishek, Prakash, Dr. PKS

“… Step by Step guide filled with real world practical examples. About This Book • Get your first experience with data analysis with one of the most powerful types of analysis—time-series …”
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AI4Water v1.0: an open-source python package for modeling hydrological time series using data-driven methods von Abbas, Ather, Boithias, Laurie, Pachepsky, Yakov, Kim, Kyunghyun, Chun, Jong Ahn, Cho, Kyung Hwa

“… advanced skills from diverse fields, such as programming and hydrological modeling. Additionally, data pre-processing and post-processing when training and testing machine learning models are a time-intensive process …”
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Leveraging Python for data modeling, visualization and remote sensing of fire hotspots in the Amazon: a case study of Santana do Araguaia, Brazil von da Silveira, Jackson Vinícius Mendes

“… In this work, python was used in data modeling, visualization and remote sensing for analysis of fire hotspots generated from the region where Santana do Araguaia is located …”
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PRMS-Python: A Python framework for programmatic PRMS modeling and access to its data structures von Volk, John M., Turner, Matthew A.

“… A persistent problem in numerical hydrologic modeling, is tracking provenance or how particular data came …”
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Practical Time Series Analysis: Master Time Series Data Processing, Visualization, and Modeling using Python von Prakash, PKS, Pal, Avishek

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svm_friction: A Python based software for calculating, data analysis and modeling the coefficient of friction of aluminum metal matrix composites using support vector regression von Kolev, Mihail

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ugtm: A Python Package for Data Modeling and Visualization Using Generative Topographic Mapping von Gaspar, Héléna Alexandra

“… ugtm is a Python package that implements generative topographic mapping (GTM), a dimensionality reduction algorithm by Bishop, Svensén and Williams …”
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A Python Toolbox for Data-Driven Aerodynamic Modeling Using Sparse Gaussian Processes von Valayer, Hugo, Bartoli, Nathalie, Castaño-Aguirre, Mauricio, Lafage, Rémi, Lefebvre, Thierry, López-Lopera, Andrés F., Mouton, Sylvain

“… In aerodynamics, characterizing the aerodynamic behavior of aircraft typically requires a large number of observation data points …”
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HyperNetX: A Python package for modeling complex network data as hypergraphs von Praggastis, Brenda, Aksoy, Sinan, Arendt, Dustin, Bonicillo, Mark, Joslyn, Cliff, Purvine, Emilie, Shapiro, Madelyn, Yun, Ji Young

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"F.Q.A.M" Feyn-QLattice Automation Modelling: Python Module of Machine Learning for Data Classification in Water Potability von Riyantoko, Prismahardi Aji, Sugiarto, Diyasa, I Gede Susrama Mas, Kraugusteeliana

“… In data analytics, we can classification water potability using data mining methods. FEYN and Q-Lattice are one of the methods of part machine learning to solve classification data …”
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yupi: Generation, tracking and analysis of trajectory data in Python von Reyes, A., Viera-López, G., Morgado-Vega, J.J., Altshuler, E.

“… Within this scenario, challenges extend from the extraction of a trajectory from raw sensor data to the application of mathematical tools for modeling or making inferences about populations and their environments …”
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A Two-Stage Methodology for Accurate PV Energy Yield Estimation Using Satellite Weather Data and PV Modeling Python Library von de Paula, Joao Frederico Souza, de Souza Silva, Joao Lucas, de Paula, Marcelo Vinicius, Fraidenraich, Gustavo, dos Santos Barros, Tarcio Andre

“… To address this gap, this work proposes a two-stage PV modeling methodology that relies exclusively on freely available satellite data and open-source tools …”
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The GUM Tree Calculator: A Python Package for Measurement Modelling and Data Processing with Automatic Evaluation of Uncertainty von Hall, Blair D.

“… ). However, GUM offers no specific guidance. Here, we report on a Python package that implements algorithmic data processing using ‘uncertain numbers …”
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DE-Sim: an object-oriented, discrete-event simulation tool for data-intensive modeling of complex systems in Python von Goldberg, Arthur, Karr, Jonathan

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ElectroKitty: A Python Tool for Modeling Electrochemical Data Including Non-Langmuir Adsorption von Vodeb, Ožbej, Farinazzo Bergamo Dias Martins, Pedro, Strmčnik, Dušan, Hodnik, Nejc, Gaberšček, Miran

“… The use of simulation and various forms of data analysis is becoming more frequent in all areas of electrochemistry …”
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The Moho Relief Beneath the Zagros Collision Zone Through Modeling of Ground-Based Gravity Data and Utilizing Open-Source Resources in Python von Ardestani, Vahid E., Mousavi, Naeim

“… We use gravity data in a vast square to compute the Moho depth model to refine an initial Moho depth model obtained from shear wave tomography …”
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Numerical modelling of double integration with different data spacing: A Python-based approach von Priyanshi Mishra, Pramiti Tewari, Dhananjay Mishra, Pankaj Dumka

“… In this article, an attempt has been made to model the process of double integration for different data spacing …”
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Environmental Insights: Democratizing access to ambient air pollution data and predictive analytics with an open-source Python package von Berrisford, Liam J., Menezes, Ronaldo

“… To this end, we introduce Environmental Insights, an open-source Python package designed to democratize access to air pollution concentration data …”
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Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions von Samadi, Moein E., Mirzaieazar, Hedieh, Mitsos, Alexander, Schuppert, Andreas

“… , in which predictions always amount to extrapolation, demands extrapolation-enhanced strategies. One such approach is hybrid mechanistic/data-driven modeling, which integrates prior knowledge on input …”
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Census Enables Python Modeling for Data Activation on the Snowflake Data Cloud

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