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psm

propensity score matching

psychology-test

I downloaded a dataset about depression survey and conducted some descriptive statistics along with data exploration as well as trained two models to predict (more or less) depressions scores based on demographical characteristics.

pyecharts

🎨 Python Echarts Plotting Library

python-crawler-tutorial-starts-from-zero

python爬虫教程，带你从零到一，包含js逆向，selenium, tesseract OCR识别,mongodb的使用，以及scrapy框架

python-lec

python数据分析基础

shap

A game theoretic approach to explain the output of any machine learning model.

stats

📈 Useful notes and personal collections on statistics.

summer-school

sword

More than DAGs in R... An R package to visualise, log, and monitor DAG execution/progression using special comments and drop in functions

taiwan-covid-19-2021

Data, methods, and results of analyses tracking the May 2021 COVID-19 outbreak in Taiwan.

tds_black_box_models_more_explainable

Jupyter Notebook used for writing the article "Black-Box models are actually more explainable than a Logistic Regression" published in Towards Data Science: https://towardsdatascience.com/black-box-models-are-actually-more-explainable-than-a-logistic-regression-f263c22795d

tutorials

机器学习相关教程

visnetwork

R package, using vis.js library for network visualization

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow