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141

Getting started with machine learning in Python
Packt Publishing, production company.

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143

CCdownscaling: A Python package for multivariable statistical climate model downscaling
Polasky, Andrew D. ; Evans, Jenni L. ; Fuentes, Jose D.
In Environmental Modelling and Software July 2023 165

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144

HYBpy: A web-based framework for hybrid modeling of biological systems
Pedreira, José ; Pinto, José ; Gonçalves, Daniel ; et al.
In Digital Chemical Engineering December 2025 17

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145

Machine Learning Methods of Remote Sensing Data Processing for Mapping Salt Pan Crust Dynamics in Sebkha de Ndrhamcha, Mauritania
Lemenkova, Polina ; Alma Mater Studiorum Università di Bologna = University of Bologna (UNIBO)
Artificial Satellites. 60(2):37-69

Cartography machine learning Random Forest Support Vector Machine GRASS GIS satellite image
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146

GP+: A Python Library for Kernel-based learning via Gaussian Processes
Yousefpour, Amin ; Foumani, Zahra Zanjani ; Shishehbor, Mehdi ; et al.

Computer Science - Machi... Statistics - Machine Lea...
Report
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147
148

Hands-On machine learning with scikit-learn, keras, and tensorFlow : concepts, tools, and techniques to build intelligent systems
Géron, Aurélien

Aprendizaje automático Datos Sistemas inteligentes Aprendizaje automático -... Redes neuronales artific... Inteligencia artificial...
Buch
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149

An Application Driven Big Data/Machine Learning Education program for Engineering Professionals — Methods and Examples
Jacob Nordfalk ; John Aa. Sorensen
2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE). :1-5

4. Education 0202 electrical engineer... 02 engineering and techn... 0101 mathematics 01 natural sciences
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150

CodeScholar: Growing Idiomatic Code Examples
Shetty, Manish ; Sen, Koushik ; Stoica, Ion

Computer Science - Softw... Computer Science - Machi... Computer Science - Progr...
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151

A practical applications guide to machine learning regression models in psychology with Python
Nataša Kovač ; Kruna Ratković ; Hojjatollah Farahani ; et al.
Methods in Psychology, Vol 11, Iss, Pp 100156-(2024)

Machine learning 05 social sciences Psychological applicatio... Tutorial Psychology 0501 psychology and cogn...
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152

9 - Data analysis and machine learning tools in MATLAB and Python
In Computational Learning Approaches to Data Analytics in Biomedical Applications 2020:231-290

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153

geomstats: a Python Package for Riemannian Geometry in Machine Learning
Miolane, Nina ; Mathe, Johan ; Donnat, Claire ; et al.

Computer Science - Machi... Computer Science - Mathe... Statistics - Machine Lea...
Report
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154

Tutorial on time series prediction using 1D-CNN and BiLSTM: A case example of peak electricity demand and system marginal price prediction
Kim, Jaedong ; Oh, Seunghwan ; Kim, Heesoo ; et al.
In Engineering Applications of Artificial Intelligence November 2023 126 Part A

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155

The Gaussian-Linear Hidden Markov model: a Python package
Vidaurre, Diego ; Masaracchia, Laura ; Larsen, Nick Y. ; et al.

Quantitative Biology - N... Statistics - Machine Lea...
Report
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156

SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation
Kiyohara, Haruka ; Kishimoto, Ren ; Kawakami, Kosuke ; et al.

Computer Science - Machi... Computer Science - Artif...
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157

Appendix P: Examples of python programming driving artificial intelligence and machine learning
Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigm ; page e159-e201

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158

HydroEcoLSTM: A Python package with graphical user interface for hydro-ecological modeling with long short-term memory neural network
Tam V. Nguyen ; Vinh Ngoc Tran ; Hoang Tran ; et al.
Ecological Informatics, Vol 85, Iss , Pp 102994- (2025)

Machine learning Long short-term memory Ecological modeling Hydrological modeling Information technology T58.5-58.64
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159

pyts: A Python Package for Time Series Classification
Faouzi, Johann ; Janati, Hicham ; Institut du Cerveau = Paris Brain Institute (ICM) ; et al.
Journal of Machine Learning Research. 21:1-6

Time series Classification Machine learning Python [STAT.OT]Statistics [sta... Other Statistics [stat.M...
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160

Optimisation of Sensor and Sensor Node Positions for Shape Sensing with a Wireless Sensor Network—A Case Study Using the Modal Method and a Physics-Informed Neural Network.
Meyer zu Westerhausen, Sören ; Hichri, Imed ; Herrmann, Kevin ; et al.
Sensors (14248220); Sep2025, Vol. 25 Issue 17, p5573, 29p

WIRELESS sensor networks SENSOR placement STRUCTURAL health monito... PYTHON programming langu... ACQUISITION of data SHAPE measurement
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