JangHyun LEE's repositories

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numpy

The fundamental package for scientific computing with Python.

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RR058-Sinda-Fluint-SINDA85-v2.6-WINDOWS-PORT

SINDA/FLUINT Systems Improved Numerical Differencing Analyzer and Fluid Integrator (SINDA85) version 2.6 WINDOWS-PORT.

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Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! ๐Ÿ˜€)

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deep-learning-with-python-notebooks

<์ผ€๋ผ์Šค ์ฐฝ์‹œ์ž์—๊ฒŒ ๋ฐฐ์šฐ๋Š” ๋”ฅ๋Ÿฌ๋‹> ๋„์„œ์˜ ์ฃผํ”ผํ„ฐ ๋…ธํŠธ๋ถ

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GRUV

GRUV is a Python project for algorithmic music generation.

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handson-ml

๋„์„œ "ํ•ธ์ฆˆ์˜จ ๋จธ์‹ ๋Ÿฌ๋‹"์˜ ์˜ˆ์ œ์™€ ์—ฐ์Šต๋ฌธ์ œ๋ฅผ ๋‹ด์€ ์ฃผํ”ผํ„ฐ ๋…ธํŠธ๋ถ์ž…๋‹ˆ๋‹ค.

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introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

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odscon-2015

Slides and material for open data science

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practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

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scikit-learn-beginners-tutorials

Abridged implementation of the official scikit-learn beginner tutorials

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scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

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scipy-2016-sklearn

Scikit-learn tutorial at SciPy2016

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scipy-2018-sklearn

Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller

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scipy_2015_sklearn_tutorial

Scikit-Learn tutorial material for Scipy 2015

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sklearn_pandas_tutorial

EuroScipy 2014 tutorial: Introduction to predictive analytics with pandas and scikit-learn

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sklearn_pycon2015

Materials for my Pycon 2015 scikit-learn tutorial.

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sklearn_tutorial

Materials for my scikit-learn tutorial

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weibull-1

Weibull analysis, test design, and some Weibayes functionality for Python3.5+

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weibull-fit

Python script to find the best modified Weibull distribution fit for a given dataset

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