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 (10 years ago)
Commits 543 (last one 5 years ago)
Stargazers 27,799 (30 this week)
Watchers 1,616 (0 this week)
Forks 7,914
License other
Ranking

RepositoryStats indexes 609,066 repositories, of these donnemartin/data-science-ipython-notebooks is ranked #845 (99th percentile) for total stargazers, and #237 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #145/122,846.

donnemartin/data-science-ipython-notebooks is also tagged with popular topics, for these it's ranked: python (#91/22729),  deep-learning (#41/8637),  machine-learning (#42/8197),  aws (#5/2534),  tensorflow (#11/2274),  data-science (#15/2171),  keras (#3/799),  pandas (#6/588),  numpy (#6/552),  spark (#3/544),  big-data (#4/365),  scikit-learn (#5/355),  matplotlib (#3/317),  hadoop (#1/183),  kaggle (#1/124)

Other Information

donnemartin/data-science-ipython-notebooks has 21 open pull requests on Github, 31 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 19 open issues and 22 closed issues.

Star History

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Recent Commit History

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Issue History

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updated: 2025-01-30 @ 01:45pm, id: 29749635 / R_kgDOAcXxgw