GitHub / 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.
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PURL: pkg:github/donnemartin/data-science-ipython-notebooks
Stars: 28,169
Forks: 7,978
Open issues: 39
License: other
Language: Python
Size: 46.8 MB
Dependencies parsed at: Pending
Created at: over 10 years ago
Updated at: 2 months ago
Pushed at: over 1 year ago
Last synced at: 2 months ago
Commit Stats
Commits: 521
Authors: 13
Mean commits per author: 40.08
Development Distribution Score: 0.029
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/donnemartin/data-science-ipython-notebooks
Topics: aws, big-data, caffe, data-science, deep-learning, hadoop, kaggle, keras, machine-learning, mapreduce, matplotlib, numpy, pandas, python, scikit-learn, scipy, spark, tensorflow, theano