sharc007 Goto Github PK
Type: User
sharc007's Projects
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
algforopt-notebooks
Jupyter notebooks associated with the Algorithms for Optimization textbook
all-of-statistics
Self-study on Larry Wasserman's "All of Statistics"
bayesian-with-python
프로그래머를 위한 베이지안 with 파이썬
chebpy
Spectral Methods in Python
computational-statistical-experiments
Courses in Computational Statistical Experiments through Matlab and SageMath
computational-statistics-with-python
Resources for STA 633 class
cs221
CS221: Artificial Intelligence: Principles and Techniques
databook_python
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz
dbda-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
deeplearningzerotoall
TensorFlow Basic Tutorial Labs
distribution-zoo
App to view distribution properties and access dynamic code in R, Python, Matlab, Mathematica, Julia and Stan
dsbook
Repository for data science book
effectivepython
Effective Python: Second Edition — Source Code and Errata for the Book
free-data-science
🛠️ 🌐 Thematic list of high-quality data science resources
gongdols
공돌이의 수학정리노트 Blog/Youtube 소스코드
hands-on-predictive-analytics-with-python
Hands-On Predictive Analytics with Python, published by Packt
islr-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
islr-with-python
Introduction to Statistical Learning with R을 Python으로
machine-learning-books-with-python
Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
machinelearning
선형대수와 통계학으로 배우는 머신러닝 with 파이썬
mistat-code-solutions
Code repository for "Modern Statistics: A Computer Based Approach with Python" and "Industrial Statistics: A Computer Based Approach with Python"
optimization
Errata for Algorithms for Optimization book
otml_ds3_2018
Practical sessions for the Optimal Transport and Machine learning course at DS3 2018
pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
portfolio
Portfolio of Allen Downey at Olin College
pot
POT : Python Optimal Transport
practical-statistics-for-data-scientists
Code repository for O'Reilly book
probabilistic-programming-and-bayesian-methods-for-hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
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