Pinned Repositories
all-of-statistics
Self-study on Larry Wasserman's "All of Statistics"
100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
12_Python_Seaborn_Module
Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk through a few of the highlights and show how to use the new scatter and line plot functions for quickly creating very useful visualizations of data.
Causal-Inference
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
Data-analysis
数据分析，挖掘建模。
discredit_enterprises_rank3
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
econometrics
陈强高级计量经济学笔记，使用python、matlab实现各模型估计
Econometrics-With-Python
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly without hustles of derivation and Python codes are straightforward.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Feixwang's Repositories
Feixwang/statsmodels
Statsmodels: statistical modeling and econometrics in Python
Feixwang/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.
Feixwang/Econometrics-With-Python
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly without hustles of derivation and Python codes are straightforward.
Feixwang/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Feixwang/Causal-Inference
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
Feixwang/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Feixwang/12_Python_Seaborn_Module
Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk through a few of the highlights and show how to use the new scatter and line plot functions for quickly creating very useful visualizations of data.
Feixwang/PRML
PRML algorithms implemented in Python
Feixwang/MadeWithML
Learn how to responsibly deliver value with ML.
Feixwang/LearningUrl
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Feixwang/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Feixwang/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
Feixwang/100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
Feixwang/TechXueXi
强国通 科技强国 学习强国 xuexiqiangguo 全网最好用开源网页学习强国助手：TechXueXi （懒人刷分工具 自动学习）技术强国，支持答题，支持 docker 45分/天
Feixwang/python3-cookbook
《Python Cookbook》 3rd Edition Translation
Feixwang/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Feixwang/Data-analysis
数据分析，挖掘建模。
Feixwang/all-of-statistics
Self-study on Larry Wasserman's "All of Statistics"
Feixwang/statistic
collecting books, papers and docs.
Feixwang/python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
Feixwang/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Feixwang/learn-python3
Jupyter notebooks for teaching/learning Python 3
Feixwang/Statistics-and-Econometrics-for-Data-Science
This repository contains notebooks for understanding some concepts of statistics and econometrics that can be helpful in data science
Feixwang/intro2stats
Introduction to Statistics using Python
Feixwang/econometrics
陈强高级计量经济学笔记，使用python、matlab实现各模型估计
Feixwang/discredit_enterprises_rank3
Feixwang/L1
Feixwang/Python-Machine-Learning-zh
Python机器学习，机器学习入门首选。
Feixwang/pydata-notebook
利用Python进行数据分析 第二版 (2017) 中文翻译笔记
Feixwang/statistical-learning-method
《统计学习方法》笔记-基于Python算法实现