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iPython Notebooks

Created/Published/Taught by:

John Wittenauer

Content Found Via:

KDnuggets

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Cost: $0.00

Tags: big data / deep learning / IPython / machine learning / matplotlib / numpy / pandas / python / scikit-learn / scipy / Seaborn / Spark / TensorFlow

Content Type: Cheat Sheets / References, Learning Guides, Etc. / Tutorial

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FromÂ GitHub:

“This repo contains various iPython notebooks I’ve created to experiment with libraries and work through exercises, and explore subjects that I find interesting.”

The notebooks include:

- Popular Python data science libraries
- NumPy
- SciPy
- Matplotlib
- Pandas
- Statsmodels
- Scikit-learn
- Seaborn
- NetworkX
- PyMC
- NLTK
- DEAP
- Genism

- Machine Learning Exercises
- Tensorflow Deep Learning Exercises
- Spark Big Data Labs
- Miscellaneous

Recommended Prerequisites: none specified

Go to Content: iPython Notebooks

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