statsmodels
Machine LearningStatistical models, hypothesis tests, and statistical data exploration in Python.
Installation
pip install statsmodelsDocumentation
Official DocsChapters Using statsmodels
Chapter 33: Descriptive Statistics & Distributions (Statistics & Statistical Inference)
Chapter 35: Sampling & Estimation (Statistics & Statistical Inference)
Chapter 36: Hypothesis Testing (Statistics & Statistical Inference)
Chapter 37: Resampling & the Bootstrap (Statistics & Statistical Inference)
Chapter 39: Regression & Generalized Linear Models (Statistics & Statistical Inference)
Chapter 40: Experimental Design & A/B Testing (Statistics & Statistical Inference)
Chapter 46: Time Series Fundamentals (Time Series Analysis & Forecasting)
Chapter 47: Classical Forecasting: ARIMA & ETS (Time Series Analysis & Forecasting)
Chapter 48: Machine Learning for Time Series (Time Series Analysis & Forecasting)