hardworklql

PulsarRPA

Automate webpages at scale, scrape web data completely and accurately with high performance, distributed AI-RPA.

approachingalmost

Approaching (Almost) Any Machine Learning Problem

sjzl-wiki

数据治理wiki

trustworthyAI

Trustworthy AI related projects

scientific-visualization-book

An open access book on scientific visualization using python and matplotlib

Reflection_Summary

算法理论基础知识应知应会

CLTV

shap

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

tick_archive

Module for statistical learning, with a particular emphasis on time-dependent modelling

tick_archive

Module for statistical learning, with a particular emphasis on time-dependent modelling

interpretable-ml-book

Book about interpretable machine learning

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

interpretable_machine_learning_with_python

Practical techniques for interpreting machine learning models.

GLMM-in-Python

Generalized linear mixed-effect model in Python

oreilly-intro-to-predictive-clv

Repo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value"

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

models

Premade models for SQLFlow

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

interpret

Fit interpretable models. Explain blackbox machine learning.

lifetimes

Lifetime value in Python

data-science-interviews

Data science interview questions and answers

lifelines

Survival analysis in Python

CausalInferenceIntro

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

statsmodels

Statsmodels: statistical modeling and econometrics in Python

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.

data_analysis_project

数据分析项目

data_analysis_notes

数据分析相关笔记

Machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

Lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

MachineLearning_Python

机器学习算法python实现