Showing 1 - 20 of 24,655

1

Pylluminator: fast and scalable analysis of DNA methylation data in Python
Fanchon, Elio ; Loire, Benjamin ; Trani, Jean-Philippe ; et al.

Epigenetics DNA methylation Illumina microarray data analysis data processing data visualization
Electronic Resource
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2

Computing and Plotting Correlograms by Python and R Libraries for Correlation Analysis of the Environmental Data in Marine Geomorphology
Lemenkova, Polina ; Ocean University of China (OUC) ; China Scholarship Council (CSC), State Oceanic Administration (SOA), Marine Scholarship of China, Grant Nr. 2016SOA002, Beijing, People’s Republic of China.
Jeomorfolojik Araştırmalar Dergisi / Journal of Geomorphological Researches. 3:1-16

Cartography Visualizatio... Mapping Geospatial analysis Mariana Trench Data modelling Data analysis
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3

Random Forest Classifier Algorithm of Geographic Resources Analysis Support System Geographic Information System for Satellite Image Processing: Case Study of Bight of Sofala, Mozambique
Lemenkova, Polina ; Paris-Lodron-Universität Salzburg = Paris-Lodron-University of Salzburg (PLUS)
Coasts. 4(1):127-149

Data analysis Machine learning Ensemble learning GRASS GIS Scikit-Learn Python
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4

Exploratory Data Analysis Pernikahan di Kabupaten Banjar dengan Pendekatan Machine Learning
Nor Azizah ; Mambang Mambang ; Subhan Panji Cipta ; et al.
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI). 8:1241-1248

Academic journal
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5

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6

Student Result Analysis System Using Python Libraries
Ashrafi, Mudassir ; Bhonslay, Varun ; Khamkar, Prasad ; et al.
New Horizons of Science. 3:77-85

[INFO.EIAH]Computer Scie... Technology for Human Lea...
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7

Geospatial Analysis by Python and R: Geomorphology of the Philippine Trench, Pacific Ocean
Lemenkova, Polina ; Ocean University of China (OUC) ; China Scholarship Council (CSC), State Oceanic Administration (SOA), Marine Scholarship of China, Grant Nr. 2016SOA002, Beijing, China
Electronic Letters on Science and Engineering. 15(3):81-94

oceanology data modeling Philippine Trench Python R computing
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8

An open educational resource to introduce data analysis in Python for the Humanities.
Blanke, Tobias ; Colavizza, Giovanni ; van Hout, Zarah
Education for Information. 2023, Vol. 39 Issue 2, p105-119. 15p. 4 Charts, 1 Graph.

Data analysis Algorithms Machine learning Humanities Python programming langu...
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9

Processing oceanographic data by Python libraries NumPy, SciPy and Pandas
Lemenkova, Polina ; Ocean University of China (OUC)
Aquatic Research. 2(2):73-91

Data analysis Pandas Statistics NumPy SciPy Programming language
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10

Open-source Python repository for data drift analysis.
Wrobel, Krzysztof ; Porwik, Piotr ; Orczyk, Tomasz
Procedia Computer Science. 2024, Vol. 246, p482-489. 8p.

Data libraries Concept learning Machine learning Public domain Data analysis Python programming langu...
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11

Empowering students through active learning in educational big data analytics
Tsai, Yun-Cheng
Smart Learning Environments. 11(1)

Academic journal
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12

Mass-Suite: a novel open-source python package for high-resolution mass spectrometry data analysis
Hu, Ximin ; Mar, Derek ; Suzuki, Nozomi ; et al.
Journal of Cheminformatics. 15(1)

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13

Key factors and tactical variations in Chinese national women's softball games: a machine learning-based identification.
Li, Hanyao ; Cheng, Gang ; Zhang, Tianfeng
Frontiers in Sports & Active Living. 2025, p1-15.

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14

Deep-Sea Trenches of the Pacific Ocean: a Comparative Analysis of the Submarine Geomorphology by Data Modeling Using GMT, QGIS, Python and R.
Lemenkova, Polina ; Ocean University of China (OUC) ; China Scholarship Council (CSC), State Ocean Administration (SOA), Marine Scholarship of China, People’s Republic of China (P. R. C.), Beijing, Grant #2016SOA002, 2016-2020
Doctoral. China. 2019. :106-106

Geology Geology Geophysics Geography R programming Python programming Matlab
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15

Deep-Sea Trenches of the Pacific Ocean: a Comparative Analysis of the Submarine Geomorphology Using Data Modeling by GMT, Python and R
Lemenkova, Polina ; Schmidt United Institute of Physics of the Earth [Moscow] (IPE) ; Russian Academy of Sciences [Moscow] (RAS)

Data analysis Modelling Programming languages Machine learning Deep learning Big data
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16

Bridging the gap between R and Python in bulk transcriptomic data analysis with InMoose
Colange, Maximilien ; Appé, Guillaume ; Meunier, Léa ; et al.
Scientific Reports. 15(1)

Academic journal
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17

PyMatterSim: a Python Data Analysis Library for Computer Simulations of Materials Science, Physics, Chemistry, and Beyond
Hu, Y. -C. ; Tian, J.

Condensed Matter - Mater... Condensed Matter - Soft... Condensed Matter - Stati... Physics - Computational...
Report
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19

Application of Python in Marketing Education: A Big Data Analytics Perspective
Teimourzadeh, Aria ; Kakavand, Samaneh ; Kakavand, Benjamin
16

Marketing Teaching Methods Programming Languages Data Analysis Business Schools Visual Aids
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20

Data-driven Insights Machine Learning Approaches for Netflix Content Analysis and Visualization
Ali, Asfand ; Raza, Ali ; Sayed, Muhammad Masoom Mustafa ; et al.
Journal of Engineering Research and Reports. 27(4):278-290

[SPI]Engineering Science...
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