Learning data mining with Python : harness the power of Python to analyze data and create insightful predictive models

Learning data mining with Python : harness the power of Python to analyze data and create insightful predictive models

Enregistré dans:

Détails bibliographiques
Auteur principal:	Layton, Robert, 19..-...., informaticien.
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham, UK : Packt Publishing Ltd., 2015.
Sujets:	Exploration de données Python (langage de programmation) Data mining Python (Computer program language)
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book
Lien:	Autre support: Learning data mining with Python

Documents similaires

Python for secret agents : analyze, encrypt, and uncover intelligence data using Python, the essential tool for all aspiring secret agents
par: Lott, Steven F.
Publié: (2014)

R and data mining : examples and case studies
par: Zhao, Yanchang, 1977-
Publié: (2012)

Mastering Python scientific computing : a complete guide for Python programmers to master scientific computing using Python APIs and tools
par: Mehta, Hemant Kumar.
Publié: (2015)

Learning predictive analytics with Python : gain practical insights into predictive modelling by implementing predictive analytics algorithms on public datasets with Python
par: Kumar, Ashish, 19..-
Publié: (2016)

Learning OpenCV 3 computer vision with Python : unleash the power of computer vision with Python using OpenCV
par: Minichino, Joe.
Publié: (2015)

Data mining applications with R
par: Zhao, Yanchang, 1977-
Publié: (2013)

Python high performance
par: Lanaro, Gabriele.
Publié: (2017)

Java data mining : strategy, standard, and practice : a practical guide for architecture, design, and implementation
par: Hornick, Mark F.
Publié: (2010)

Python essentials : modernize existing Python code and plan code migrations to Python using this definitive guide
par: Lott, Steven F.
Publié: (2015)

Matplotlib for Python developers : build remarkable publication quality plots the easy way
par: Tosi, Sandro, 198.-
Publié: (2009)

OpenCV with Python Blueprints : design and develop advanced computer vision projects using OpenCV with Python
par: Beyeler, Michael, 1981-
Publié: (2015)

Python multimedia beginner's guide : learn how to develop multimedia applications using Python with this practical step-by-step guide
par: Sathaye, Ninad.
Publié: (2010)

Python : deeper insights into machine learning : leverage benefits of machine learning techniques using Python
par: Raschka, Sebastian.
Publié: (2016)

Python 3 object oriented programming : harness the power of Python 3 objects
par: Phillips, Dusty.
Publié: (2010)

Building Machine Learning Systems with Python : master the art of machine learning with Python and build effective machine learning systems with this intensive hands-on guide
par: Richert, Willi.
Publié: (2013)

Learning robotics using Python : design, simulate, program, and prototype an interactive autonomous mobile robot from scratch with the help of Python, ROS, and Open-CV!
par: Lentin, Joseph.
Publié: (2015)

Learning robotics using Python : design, simulate, program, and prototype an autonomous mobile robot using ROS, OpenCV, PCL, and Python
par: Lentin, Joseph.
Publié: (2018)

Data mining : concepts and techniques
par: Han, Jiawei.
Publié: (2012)

Python data science essentials : a practitioner's guide covering essential data science principles, tools and techniques
par: Boschetti, Alberto.
Publié: (2018)

Advanced analytics with R and Tableau : advanced visual analytical solutions for your business
par: Stirrup, Jen.
Publié: (2017)

Interactive applications using Matplotlib : don't just see your data, experience it!
par: Root, Benjamin V., 19..-
Publié: (2015)

Hands-on Blockchain for Python developers : gain blockchain programming skills to build decentralized applications using Python
par: Kok, Arjuna Sky.
Publié: (2019)

Le petit Python orienté objet : programmation orientée objet avec Python 3
par: Gomez, Richard.
Publié: (2022)

Python 3 : apprendre à programmer dans l'écosystème Python
par: Cordeau, Bob, 19..-
Publié: (2020)

NumPy cookbook : over 70 interesting recipes for learning the Python open source mathematical library, NumPy
par: Idris, Ivan.
Publié: (2012)

Practical Maya programming with Python : unleash the power of Python in Maya and unlock your creativity
par: Galanakis, Robert.
Publié: (2014)

Matplotlib plotting cookbook : learn how to create professional scientific plots using matplotlib, with more than 60 recipes that cover common use cases
par: Devert, Alexandre, 1981-
Publié: (2014)

IPython interactive computing and visualization cookbook : over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science with Python
par: Rossant, Cyrille, 1985-
Publié: (2014)

Getting started with Python and Raspberry Pi : learn to design and implement reliable Python applications on Raspberry Pi, using a range of external libraries, the Raspberry Pi's GPIO port, and the camera module
par: Nixon, Dan.
Publié: (2015)

Hands-on data science and Python machine learning : perform data mining and machine learning efficiently using Python and Spark
par: Kane, Frank.
Publié: (2017)

Data science with Jupyter : master data science skills with easy-to-follow Python examples
par: Gupta, Prateek.
Publié: (2019)

Python pour le data scientist : des bases du langage au machine learning
par: Jakobowicz, Emmanuel, 1980-
Publié: (2021)

Python pour le data scientist : des bases du langage au machine learning
par: Jakobowicz, Emmanuel, 1980-
Publié: (2021)

Kivy : interactive applications in Python : create cross-platform UI/UX applications and games in Python
par: Ulloa, Roberto.
Publié: (2013)

Data mining and statistics for decision making
par: Tufféry, Stéphane, 1965-
Publié: (2011)

Deep learning with Keras : implement neural networks with Keras on Theano and TensorFlow
par: Gulli, Antonio.
Publié: (2017)

Kivy : interactive applications and games in Python : create responsive cross-platform UI/UX applications and games in Python and using the open source Kivy library
par: Ulloa, Roberto.
Publié: (2015)

Handbook of Data Mining
par: Ye, Nong.

Le Machine Learning avec Python : de la théorie à la pratique
par: Khichane, Madjid, 1980-
Publié: (2021)

Python et l'analyse forensique : récupérer et analyser les données produites par les ordinateurs
par: Bennis, Mehdi.
Publié: (2019)

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