donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HD...

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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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A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

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pandas-td 🌿

Interactive data analysis with Pandas and Treasure Data.

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Python Data Structures and Algorithms, published by Packt

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Data science papers to read and discuss.

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Map Reduce example for Hadoop in Python based on Udacity: Intro to Hadoop and MapReduce

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Code repository for Python Data Analytics and Visualization by Packt

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Python implementation of common algorithms and data structures interview questions

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Workshop: Python for Data Science

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Hands-On Data Structures and Algorithms with Python Second Edition, published by Packt

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Implementation of simple data structures in Python

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Self written codes for Advanced Data Structures and Algorithms using Python. With each code, there is an associated markdown for explanation and applicaitions of that algorithm or data structure.

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scikit-learn contrib estimators

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bionic 🌿

A Python framework for data science.

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Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http://scikit-learn.org/stable/)

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