donnemartin / data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Date Created 2015-01-23 (9 years ago)

Commits 543 (last one 5 years ago)

Stargazers 26,565 (16 this week)

Watchers 1,619 (0 this week)

Forks 7,742

License other

Ranking

RepositoryStats indexes 523,840 repositories, of these donnemartin/data-science-ipython-notebooks is ranked #785 (99th percentile) for total stargazers, and #235 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #125/100,813.

donnemartin/data-science-ipython-notebooks is also tagged with popular topics, for these it's ranked: python (#82/20132), deep-learning (#37/7720), machine-learning (#39/7264), aws (#5/2312), tensorflow (#10/2146), data-science (#15/1941), keras (#2/751), pandas (#6/534), numpy (#5/502), spark (#2/498), big-data (#4/342), scikit-learn (#5/327), matplotlib (#3/283), hadoop (#1/167), kaggle (#1/107)

Other Information

donnemartin/data-science-ipython-notebooks has 19 open pull requests on Github, 31 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 17 open issues and 22 closed issues.

All Topics

aws caffe keras numpy scipy spark hadoop kaggle pandas python theano big-data mapreduce matplotlib tensorflow data-science scikit-learn deep-learning machine-learning

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updated: 2024-05-31 @ 09:10pm, id: 29749635 / R_kgDOAcXxgw