Sisieyang's Stars
CyC2018/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
apachecn/ailearning
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
taizilongxu/interview_python
关于Python的面试题
scipy/scipy
SciPy library main repository
rougier/numpy-100
100 numpy exercises (with solutions)
MorvanZhou/tutorials
机器学习相关教程
automl/auto-sklearn
Automated Machine Learning with scikit-learn
lawlite19/MachineLearning_Python
机器学习算法python实现
apachecn/sklearn-doc-zh
:book: [译] scikit-learn(sklearn) 中文文档
gibsjose/cpp-cheat-sheet
C++ Syntax, Data Structures, and Algorithms Cheat Sheet
kojino/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
tirthajyoti/Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
scipy-lectures/scientific-python-lectures
Tutorial material on the scientific Python ecosystem
ajcr/100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
samoshkin/tmux-config
Tmux configuration, that supercharges your tmux to build cozy and cool terminal environment
rougier/from-python-to-numpy
An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017
Awesome-Interview/Awesome-Interview
Collection of awesome interview references.
jmfernandes/robin_stocks
This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at
bashtage/linearmodels
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
empathy87/The-Elements-of-Statistical-Learning-Python-Notebooks
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
PacktPublishing/Pandas-Cookbook
Pandas Cookbook, published by Packt
maitbayev/the-elements-of-statistical-learning
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
martinobdl/ITCH
Nasdaq Order Book Reconstructor
jseabold/statsmodels-tutorial
Tutorial Created for SciPy 2012
alanjeffares/elements-of-statistical-learning
Documenting my progress as I work through The Elements of Statistical Learning book by T. Hastie, R. Tibshirani, and J. Friedman
mrtkp9993/Statistical-Modeling-Examples
Basic statistical modelling examples.
jseabold/csc432-notebooks
These are the IPython notebook files for the CSC 432 Spring '13 course.
markwk/ts4health
Time Series Data Analysis, Visualization and Forecasting with Python for Health and Self
asa338/numpy-practice
100 numpy exercise to brush up the skills with numpy library and to get familier with