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Data Science Projects with Python : A case study approach to gaining valuable insights from real data with machine learning
Stephen Klosterman ; Stephen Klosterman
INCREASING CONSISTENCY, TRACEABILITY AND TRANSPARENCY IN DATA SCIENCE PROJECTS: ANALYSIS AND FRAMEWORK.
Wolf, David J. ; Specker, Adrian
European Project Management Journal. Feb2024, Vol. 14 Issue 1, p36-51. 16p.
A Comprehensive Guide to Combining R and Python code for Data Science, Machine Learning and Reinforcement Learning
Navarro, Alejandro L. García ; Koneva, Nataliia ; Sánchez-Macián, Alfonso ; et al.
Introductory data science across disciplines, using Python, case studies, and industry consulting projects
Lasser, Jana ; Manik, Debsankha ; Silbersdorff, Alexander ; et al.
Teaching statistics. 43:S190-S200
Data Science Projects with Python
Klosterman, Stephen ; Klosterman, Stephen ; Klosterman, Stephen ; et al.
A platform to help in generating code for machine learning and data science projects.
Rajiv, Charles Samuel ; Parkavi, K. ; Leninisha, S.
AIP Conference Proceedings; 2023, Vol. 2869 Issue 1, p1-6, 6p
HL-LHC Computing Review Stage 2, Common Software Projects: Data Science Tools for Analysis
Pivarski, Jim ; Rodrigues, Eduardo ; Pedro, Kevin ; et al.
Considerations for Building a Data Science Culture for the Clinical Laboratory.
McFadden, Benjamin R.
Journal of Applied Laboratory Medicine; Mar2025, Vol. 10 Issue 2, p505-509, 5p
Minimalist Data Wrangling with Python
Gagolewski, Marek
Data science methods for response, incremental response and rate sensitivity to response modelling in banking.
Arevalillo, Jorge M.
Expert Systems. Oct2024, Vol. 41 Issue 10, p1-18. 18p.
Leveraging artificial intelligence and data science techniques in harmonizing, sharing, accessing and analyzing SARS-COV-2/COVID-19 data in Rwanda (LAISDAR Project): study design and rationale.
Nishimwe, Aurore ; Ruranga, Charles ; Musanabaganwa, Clarisse ; et al.
BMC Medical Informatics & Decision Making. 8/12/2022, Vol. 22 Issue 1, p1-9. 9p.
SmartManPy – Open Source Synthetic Manufacturing Data.
Lodes, Lukas ; Hass, Erik ; Dachtler, Kristina ; et al.
Procedia Computer Science. 2025, Vol. 253, p1830-1839. 10p.
DESIGNING FOR ETHICAL MATHEMATICS CONSCIOUSNESS: A SYNTHESIS OF FINDINGS FROM A DESIGN BASED RESEARCH PROJECT EXPLORING HOW EDUCATORS MAY DESIGN FOR STUDENTS' ETHICAL REASONING IN DATA SCIENCE.
Register, Jordan T.
Philosophy of Mathematics Education Journal. Feb2024, Issue 41, p1-39. 39p.
Fostering the Development of Earth Data Science Skills in a Diverse Community of Online Learners: A Case Study of the Earth Data Science Corps
Nathan A. Quarderer ; Leah Wasser ; Anne U. Gold ; et al.
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DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python
Peng, Jinglin ; Wu, Weiyuan ; Lockhart, Brandon ; et al.
Modeling and Analyzing Urban Networks and Amenities With OSMnx.
Boeing, Geoff
Geographical Analysis. Oct2025, Vol. 57 Issue 4, p567-577. 11p.
A requirement-driven approach for competency-based collaboration in industrial data science projects.
Syberg, Marius ; West, Nikolai ; Schwenken, Jörn ; et al.
International Journal of Production Management & Engineering; 2024, Vol. 12 Issue 1, p79-90, 12p
Agile Projects and big Data.
Demigha, Souâd
Proceedings of the International Conference on Intellectual Capital, Knowledge Management & Organizational Learning. 2019, p88-96. 9p.