[Python and Data Science] Tutorial Lecture Link

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I Dropped Out of School to Create My Own Data Science Master’s — Here’s My Curriculum

Every single Machine Learning course on the internet, ranked by your reviews

If you want to learn Data Science, start with one of these programming classes

If you want to learn Data Science, take a few of these statistics classes

I ranked every Intro to Data Science course on the internet, based on thousands of data points

An overview of every Data Visualization course on the internet

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점프 투 파이썬

https://wikidocs.net/book/1

코딩도장

http://codingdojang.com/

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파이썬으로 배우는 알고리즘 트레이딩

https://wikidocs.net/book/110

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코딩 도장

https://dojang.io/

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예제로 배우는 Python 프로그래밍

http://pythonstudy.xyz

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https://www.codesdope.com

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홍콩과기대 김성훈 교수

http://hunkim.github.io/ml/
https://www.youtube.com/user/hunkims/

GitHub Flow
https://goo.gl/t9K8gn
https://goo.gl/Ek35Zi

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Python으로 Big Data 분석하기

https://www.flearning.net/courses/6

https://www.youtube.com/watch?v=nxSVZVVfMxM&list=PLWO_EXTnt3sPmlgCeHAiHwaAFwmmusGp6

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데이터 사이언스 스쿨 (김도형)

데이터 사이언스 스쿨 (파이썬 버전)

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Terry TaeWoong Um

https://www.youtube.com/user/TerryTaewoongUm/

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Minsuk Heo 허민석

https://www.youtube.com/user/TheEasyoung

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Machine Learning by Andrew Ng
https://www.coursera.org/learn/machine-learning

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Coding The Matrix: Linear Algebra Through Computer Science Applications
http://codingthematrix.com/
http://cs.brown.edu/courses/cs053/current/lectures.htm

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ttp://www.financipe.com/

김대현 : 파이썬을 활용한 똑똑한 주식투자 (시스템 트레이딩) - PyCon APAC 2016

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https://slackapi.github.io/python-slackclient/

https://api.slack.com/

https://slack.com/

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http://cafe.naver.com/powertrading

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김도형: 파이썬 데이터 분석 3종 세트 - statsmodels, scikit-learn, theano - PyCon APAC 2016

김도형: 파이썬 기반의 대규모 알고리즘 트레이딩 시스템 소개 - PyCon Korea 2015

https://datascienceschool.net/

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6 Books Every Data Scientist Should Keep Nearby

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The Best Statistics Books Of All-Time

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Inte AI Academy

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TensorFlow Korea

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Comparing Top Deep Learning Frameworks: Deeplearning4j, PyTorch, TensorFlow, Caffe, Keras, MxNet, Gluon & CNTK

프레임 워크 비교 : Deeplearning4j, Torch, Theano, TensorFlow, Caffe, Paddle, MxNet, Keras 및 CNTK

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C++로 배우는 딥러닝

프로그래머를 위한 수학

딥러닝 4-1. 프로그래머를 위한 미분 강의

딥러닝 4-2. 프로그래머를 위한 수치 미분 강의

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http://kjcoder.tistory.com/category/TensorFlow_Python

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https://www.codecademy.com/learn/learn-python

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https://www.codeschool.com/courses/try-python

https://www.codeschool.com/courses/try-django

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https://learnpythonthehardway.org/

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http://docs.python-guide.org/

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SKIL CE (Skymind Intelligence Layer Community Edition)

https://skymind.readme.io/

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http://www.fast.ai/

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https://openai.com/

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Project Euler

https://projecteuler.net/

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NumPy Tutorial

https://docs.scipy.org/doc/numpy/user/quickstart.html

http://cs231n.github.io/python-numpy-tutorial/

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(K-MOOC) 데이터 과학을 위한 파이썬 입문

(Inflearn)데이터 과학을 위한 파이썬 입문

Operation Research with Python Programming

Machine Learning from Scratch with Python

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PyData SlideShare

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Top 10 IPython Notebook Tutorials for Data Science and Machine Learning

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https://www.deeplearning.ai/

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https://docs.scipy.org/doc/numpy/user/quickstart.html

http://cs231n.github.io/python-numpy-tutorial/

https://www.slideshare.net/PyData/introduction-to-numpy

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From Python to Numpy

http://www.labri.fr/perso/nrougier/from-python-to-numpy/

https://github.com/rougier/from-python-to-numpy

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Numpy Tutorial Part 1 – Introduction to Arrays

Numpy Tutorial Part 2 – Vital Functions for Data Analysis

101 NumPy Exercises for Data Analysis (Python)

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Stanford CS231n Convolutional Neural Networks for Visual Recognition
http://cs231n.stanford.edu/
http://cs231n.github.io/

2017 Lecture Videos

https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv

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