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326. The Data Preparation Journey
by Martin Hugh Monkman
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327. Stochastic Processes With R
by Olga Korosteleva
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328. Data Science
by Tiffany Timbers; Trevor Campbell; Melissa Lee; Joel Ostblom; Lindsey Heagy
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329. Machine Learning and Generative Ai for Marketing: Take Your Data-Driven Marketing Strategies to the Next Level Using Python
by Yoon Hyup Hwang|Nicholas C. Burtch
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330. R By Example
by Jim Albert; Maria Rizzo
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2024, Springer Nature
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331. Visualizing Quantum Mechanics With Python (Pb 2024)
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332. Visualizing Quantum Mechanics With Python (Pb 2024)
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2024, CRC Press
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333. Introduction to Game Programming Using Processing
by Daniel Cermak-Sassenrath
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2024, Taylor & Francis
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334. Powerful Python
by Aaron Maxwell
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335. Visualizing Quantum Mechanics With Python (Pb 2024)
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336. Generative AI Foundations in Python: Discover key techniques and navigate modern challenges in LLMs
by Rodriguez, Carlos, and Shaikh, Samira (Foreword by)
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337. Hands-On Genetic Algorithms with Python: Apply genetic algorithms to solve real-world AI and machine learning problems
by Wirsansky, Eyal
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338. Digital Signal Processing
by S Esakkirajan; T Veerakumar; Badri N Subudhi
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339. Modern Time Series Forecasting With Python: Industry-Ready Machine Learning and Deep Learning Time Series Analysis With Pytorch and Pandas
by Manu Joseph, Jeffrey Tackes
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340. Extending Power Bi With Python and R
by Luca Zavarella
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2024, Packt Publishing
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341. Powerful Python: Patterns and Strategies with Modern Python
by Maxwell, Aaron
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342. Powerful Python: Patterns and Strategies with Modern Python
by Maxwell, Aaron
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343. Modern Time Series Forecasting With Python-Second Edition: Industry-Ready Machine Learning and Deep Learning Time Series Analysis With Pytorch and P
by Joseph, Manu; Tackes, Jeffrey
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344. Introduction to Python
by David Báez-López; David Alfredo Báez Villegas
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eBook ISBN: 9781032117676
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345. Exploring Operations Research With R
by Jim Duggan
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346. Modern Time Series Forecasting With Python
by Manu Joseph
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347. Python Natural Language Processing Cookbook: Over 60 recipes for building powerful NLP solutions using Python and LLM libraries
by Antic, Zhenya, and Chakravarty, Saurabh
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