Comet for Data Science : Enhance your ability to manage and optimize the life cycle of your data science project

Comet for Data Science : Enhance your ability to manage and optimize the life cycle of your data science project

Enregistré dans:

Détails bibliographiques
Auteur principal:	Duca, Angelica Lo. (Auteur)
Autres auteurs:	Mendels, Gideon. (Préface)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing, 2022.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Data Science for Decision Makers : Enhance your leadership skills with data science and AI expertise
par: Howells, Jon.

Managing Data Science : Eﬀective strategies to manage data science projects and build a sustainable team
par: Dubovikov, Kirill.
Publié: (2019)

Julia for data science : explore the world of data science from scratch with Julia by your side
par: Joshi, Anshul.
Publié: (2016)

The Data Science Workshop : Learn how you can build machine learning models and create your own real-world data science projects
par: So, Anthony.
Publié: (2020)

Capitalizing Data Science : A Guide to Unlocking the Power of Data for Your Business and Products (English Edition)
par: Sri Ramachandran, Mathangi.

Data Science for Marketing Analytics : Achieve your marketing goals with the data analytics power of Python
par: Blanchard, Tommy.
Publié: (2019)

Smarter Data Science : Succeeding with Enterprise-Grade Data and AI Projects
par: Fishman, Neal.

In the days of the Comet
par: Wells, Herbert George, 1866-1946.
Publié: (1954)

Les comètes
par: Brahic, André, 1942-2016.
Publié: (1993)

Data Science Projects with Python : A case study approach to successful data science projects using Python, pandas, and scikit-learn
par: Klosterman, Stephen.
Publié: (2019)

Comètes : Elles ont abrité de l'eau liquide !
par: Fontez, Mathilde.
Publié: (2011)

Les Comètes : par Jean Dufay,...
par: Dufay, Jean.
Publié: (1966)

Graph Data Science with Neo4j : Learn how to use Neo4j 5 with Graph Data Science library 2.0 and its Python driver for your project
par: Scifo, Estelle.

Applied data science with Python and Jupyter : use powerful industry-standard tools to unlock new, actionable insights from your data
par: Galea, Alex.
Publié: (2018)

R for data science
par: Dan, Toomey (19XX-...).
Publié: (2014)

Principles of data science
par: Ozdemir, Sinan.
Publié: (2016)

Data Science for Dummies
par: Pierson, Lillian.

Responsible Data Science
par: Fleming, Grant.

Python for data science
par: Mueller, John Paul (1958-....).
Publié: (2019)

Java for data science
par: Reese, Richard M..
Publié: (2017)

Scala for data science
par: Bugnion, Pascal.
Publié: (2016)

Spark for Data Science
par: Duvvuri, Srinivas.
Publié: (2016)

Clojure for data science
par: Garner, Henry.
Publié: (2015)

The Data Science Workshop : A New, Interactive Approach to Learning Data Science
par: So, Anthony.
Publié: (2020)

Data science with Jupyter : master data science skills with easy-to-follow Python examples
par: Gupta, Prateek.

Lettre sur la comète...
par: Maupertuis, Pierre-Louis Moreau de, 1698-1759.
Publié: (1742)

Streamlit for Data Science : Create interactive data apps in Python
par: Richards, Tyler.

Data Structures and Algorithms with Go : Create efficient solutions and optimize your Go coding skills
par: Stojanovic, Dušan.

The Applied Data Science Workshop : Get started with the applications of data science and techniques to explore and assess data effectively
par: Galea, Alex.
Publié: (2020)

R data analysis projects : build end to end analytics systems to get deeper insights from your data
par: Subramanian, Gopi.
Publié: (2017)

Managing and visualizing your BIM data : understand the fundamentals of computer science for data visualization using Autodesk Dynamo, Revit, and Microsoft Power BI
par: Pellegrino, Ernesto.
Publié: (2021)

Mastering data mining with Python ? Find patterns hidden in your data
par: Squire, Megan.
Publié: (2016)

Beginning data science with Python and Jupyter : use powerful industry-standard tools within Jupyter and the Python ecosystem to unlock new, actionable insights from your data
par: Galea, Alex.
Publié: (2018)

Principles and Methods for Data Science
par: Rao, Arni S. R. Srinivasa.
Publié: (2020)

Practical Data Science Cookbook
par: Tattar, Prabhanjan Narayanachar (1979-....).
Publié: (2017)

R data science essentials
par: Koushik, Raja B..
Publié: (2016)

Simulation for data science with R
par: Templ, Matthias.
Publié: (2016)

Mastering Python for data science
par: Madhavan, Samir.
Publié: (2015)

Big Data Science in Finance
par: Aldridge, Irene.

Data Science Strategy for Dummies
par: Jägare, Ulrika.

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1