# donnemartin/data-science-ipython-notebooks

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29,166 stars · 8,028 forks · Python · NOASSERTION

## Links

- GitHub: https://github.com/donnemartin/data-science-ipython-notebooks
- awesome-repositories: https://awesome-repositories.com/repository/donnemartin-data-science-ipython-notebooks.md

## 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`

## Description

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.

## Tags

### Part of an Awesome List

- [Data Processing](https://awesome-repositories.com/f/awesome-lists/data/data-processing.md) — Big data and data science notebooks.
- [Curated Resource Lists](https://awesome-repositories.com/f/awesome-lists/learning/curated-resource-lists.md) — Educational notebooks covering data science topics.
- [Educational Resources](https://awesome-repositories.com/f/awesome-lists/learning/educational-resources.md) — Comprehensive collection of data science notebooks.
- [Jupyter Notebook Collections](https://awesome-repositories.com/f/awesome-lists/learning/jupyter-notebook-collections.md) — Covers diverse data science topics in Python.