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Data Science and Engineering Club

DSEC 최신버젼 다운로드

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# Data Science and Engineering Club

The Open Source resources in Data Engineering, Machine Learning, Data Science topics, inspired by [Data Science Masters](http://datasciencemasters.org/).

## [Presentations and Workshops](PresentationsWorkshops)

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## Toolset

* [Installation](installation.txt)

* [Introduction to Git and GitHub](github)

* [Anaconda Distribution](https://www.continuum.io/downloads)

* [Link to the Jupyter Notebook features](http://arogozhnikov.github.io/2016/09/10/jupyter-features.html)

**The Jupyter notebook is a part of Anaconda Distribution**

The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more.

## Distributed Systems and Data Storage

* [Introduction to Hadoop](hadoop)

* [Introduction to Apache Spark](spark)

* [Introduction to Apache Kafka](kafka)

## Introduction to Python (Pandas library)

* [Python is powerful... and fast; plays well with others; runs everywhere; is friendly & easy to learn; is Open.](https://www.python.org/about/)

**Pandas package is a part of Anaconda Distribution**

Pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.

* [Introduction to Panda](http://pandas.pydata.org/pandas-docs/stable/10min.html)

* [Intro to pandas data structures by Greg Reda](http://www.gregreda.com/2013/10/26/intro-to-pandas-data-structures/)

* **Python for Data Analysis** is a good book to start, written by Wes McKinney the main author of Pandas package. The second book is planning to release in August 2017.

## Introduction to Python (Numpy library)

* NumPy is the fundamental package for scientific computing with Python. http://www.numpy.org/

* Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy. http://matplotlib.org/

* Seaborn is a Python visualization library based on matplotlib. https://seaborn.pydata.org/

## Data Wrangling with Python

Data wrangling is about taking a messy or unrefined source of data and turning it into something useful.

**Data Wrangling with Python** by Jacqueline Kazil, Katharine Jarmul.

[Data Wrangling with Python notebook](DataWranglingPython.ipynb)

## Machine Learning with Python

**Introduction to Machine Learning with Python** by  Andreas C. Mueller , Sarah Guido

**Supervised Learning: Classification and Regression**

[Introduction to Scikit-Learn notebook](IntroductionToScikitLearn.ipynb)

**Unsupervised Learning: Clustering, Dimensionality Reduction**

[Introduction to Scikit-Learn notebook2](IntroductionToScikitLearn2.ipynb)

## Introduction to Natural Language Processing with Python

[Introduction to NLP](IntroductionToNLP.ipynb)

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## Introduction to Web Development for Data Science with Python

* [Introduction to Web Development](webdevelopment)

## Introduction to Deep Learning with Python

* [Introduction to Deep Learning](deeplearning)

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## Data Science Projects [Data](ProjectData)

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## Reference Books and Research Papers:

**Data Wrangling with Python** by Jacqueline Kazil, Katharine Jarmul

**Introduction to Machine Learning with Python** by Andreas C. Mueller , Sarah Guido

**The Elements of Statistical Learning** T.Hastie, R.Tibshirani, J.Friedman

**Natural Language Processing with Python** � Analyzing Text with the Natural Language Toolkit
by Steven Bird, Ewan Klein, and Edward Loper http://www.nltk.org/book/ http://www.nltk.org/book_1ed/

Paper by Tomas Mikolov Google http://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf

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