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173

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Publicly Available Datasets

open-source dataset

Feb 27 '19 at 9:55 Itachi 172

141

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177k

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K-Means clustering for mixed numeric and categorical data

data-mining clustering octave k-means categorical-data

Nov 25 at 19:53 Community♦ 1

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Tools and protocol for reproducible data science using Python

python tools version-control

Oct 18 '18 at 3:48 gaborous 303

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11k

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Should I go for a 'balanced' dataset or a 'representative' dataset?

machine-learning dataset unbalanced-classes

Jul 25 '17 at 23:18 Luke Singham 103

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67k

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IDE alternatives for R programming (RStudio, IntelliJ IDEA, Eclipse, Visual Studio)

r tools rstudio programming

Jul 11 at 13:51 Dan Chaltiel 279

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18k

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How to deal with version control of large amounts of (binary) data

bigdata databases binary version-control

Feb 5 at 3:22 MD004 238

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12k

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Quick guide into training highly imbalanced data sets

machine-learning classification dataset unbalanced-classes

Jul 15 '16 at 22:10 Community♦ 1

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Books about the “Science” in Data Science? [closed]

statistics reference-request

Feb 21 '16 at 4:02 Dawny33♦ 6,976

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VM image for data science projects

python r tools

Apr 24 '17 at 17:37 VividD 564

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551

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What statistical model should I use to analyze the likelihood that a single event influenced longitudinal data

machine-learning data-mining statistics

Feb 15 '19 at 11:30 Tasos 2,590

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17k

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Open source data science projects to contribute

beginner open-source

Jan 19 '16 at 3:01 K3---rnc 2,294

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Looking for example infrastructure stacks/workflows/pipelines

machine-learning bigdata efficiency scalability distributed

Jun 23 '14 at 13:36 d8aninja 111

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What are the implications for training a Tree Ensemble with highly biased datasets?

machine-learning feature-selection unbalanced-classes

Jul 22 '16 at 20:19 Ram 301

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Skewed multi-class data

classification svm

Oct 1 '15 at 20:31 user776193 11

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655

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Network analysis classic datasets

dataset graphs

May 11 '15 at 21:08 Kasra Manshaei 4,315

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Publicly Available Datasets

K-Means clustering for mixed numeric and categorical data

Tools and protocol for reproducible data science using Python

Should I go for a 'balanced' dataset or a 'representative' dataset?

IDE alternatives for R programming (RStudio, IntelliJ IDEA, Eclipse, Visual Studio)

How to deal with version control of large amounts of (binary) data

Quick guide into training highly imbalanced data sets

Books about the “Science” in Data Science? [closed]

VM image for data science projects

What statistical model should I use to analyze the likelihood that a single event influenced longitudinal data

Open source data science projects to contribute

Looking for example infrastructure stacks/workflows/pipelines

What are the implications for training a Tree Ensemble with highly biased datasets?

Skewed multi-class data

Network analysis classic datasets