- Présentations
- Documents
- Infographies
Data Science Languages and Industry Analytics
Wes McKinney
•
il y a 8 ans
Top 10 Data Science Practitioner Pitfalls
Sri Ambati
•
il y a 8 ans
Apache Solr crash course
Tommaso Teofili
•
il y a 12 ans
Implementing and analyzing online experiments
Sean Taylor
•
il y a 8 ans
Smartphone Activity Prediction
Triskelion_Kaggle
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il y a 8 ans
Scikit-learn for easy machine learning: the vision, the tool, and the project
Gael Varoquaux
•
il y a 8 ans
Luigi PyData presentation
Elias Freider
•
il y a 11 ans
H2 o kaggle-032515
Sri Ambati
•
il y a 9 ans
Don't let data get in the way of a good story
mark madsen
•
il y a 9 ans
Bayesian Belief Networks for dummies
Gilad Barkan
•
il y a 9 ans
Deep Learning, an interactive introduction for NLP-ers
Roelof Pieters
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il y a 9 ans
An Introduction to Supervised Machine Learning and Pattern Classification: The Big Picture
Sebastian Raschka
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il y a 9 ans
Functional Programming Patterns (BuildStuff '14)
Scott Wlaschin
•
il y a 9 ans
Winning data science competitions
Owen Zhang
•
il y a 9 ans
How to win data science competitions with Deep Learning
Sri Ambati
•
il y a 9 ans
Scientific Computing with Python Webinar 9/18/2009:Curve Fitting
Enthought, Inc.
•
il y a 14 ans
Sampling: An an often overlooked art in exploratory data analysis
Eli Bressert
•
il y a 9 ans
PyData: The Next Generation
Wes McKinney
•
il y a 9 ans
Using Simplicity to Make Hard Big Data Problems Easy
nathanmarz
•
il y a 9 ans
The Impala Cookbook
Cloudera, Inc.
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il y a 9 ans