PengxiangZhou98Whu

algo-dictionary

bilibili-API-collect

哔哩哔哩-API收集整理【不断更新中....】

Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

cvx_short_course

Materials for a short course on convex optimization.

datastructs_and_algorithm

Data struct and algorithm introduction and implementation in C/C++/Java.

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

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.

PA1

Python-Data-Structures-py4e

learning excercise

python-for-everybody

PengxiangZhou98Whu/algo-dictionary

PengxiangZhou98Whu/bilibili-API-collect

哔哩哔哩-API收集整理【不断更新中....】

PengxiangZhou98Whu/Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

PengxiangZhou98Whu/cvx_short_course

Materials for a short course on convex optimization.

PengxiangZhou98Whu/datastructs_and_algorithm

Data struct and algorithm introduction and implementation in C/C++/Java.

PengxiangZhou98Whu/dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

PengxiangZhou98Whu/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.

PengxiangZhou98Whu/PA1

PengxiangZhou98Whu/Python-Data-Structures-py4e

learning excercise

PengxiangZhou98Whu/python-for-everybody

PengxiangZhou98Whu/Python-programming-for-everybody-py4e

PengxiangZhou98Whu/Python-Using-database-with-python-py4e

PengxiangZhou98Whu/Using-Python-to-Access-Web-Data--py4e