AI Agent Skills

机器学习方法习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

Repository for the textbook 'Improving Your Statistical Inferences' by Daniel Lakens

Statistical visualization on matplotlib + pandas. Distributions (histplot, kdeplot, violin, box), relational (scatter, line), categorical, regression, correlation heatma…

Guided statistical analysis: test choice, assumption checks, effect sizes, power, APA reporting. Pick tests, verify assumptions, or format results for publicati

Python statistical modeling: regression (OLS, WLS, GLM), discrete (Logit, Poisson, NegBin), time series (ARIMA, SARIMAX, VAR), with rigorous inference, diagnostics, and…

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]

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

Validating A/B test implementations including traffic splitting accuracy, statistical significance calculation, metric tracking, and experiment cleanup.

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much…

Statsmodels: statistical modeling and econometrics in Python

Statistical data visualization in Python

Statistical Machine Intelligence & Learning Engine

Lightning ⚡️ fast forecasting with statistical and econometric models.

A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.

Probabilistic reasoning and statistical analysis in TensorFlow