statistics-course 开源项目推荐（131 个）

unpingco /Python-for-Probability-Statistics-and-Machine-Learning

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

cfgranda /ps4ds

Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises

mikenguyen13 /data_analysis

简化数据分析流程。一本关于数据分析、因果推理和计量经济学的书，为几乎没有背景、想要培养统计直觉和实用R技能的读者撰写。

oliviergimenez /statistics-for-ecologists-Master-courses

The material for a course on Statistics for ecologists I teach every year to Master students.

kiat /R-Examples

R Code Examples for Data Analytics

jmshea /Foundations-of-Data-Science-with-Python

Interactive flashcards and quizzes, as well as additional tutorials, animations, and code, for "Foundations of Data Science with Python" by John M. Shea

edzer /sswr

Spatial Statistics with R course materials

artonson /hse-applied-statistics-2018

Materials for HSE course "Applied Statistics in Machine Learning" taught during 2018.

NBISweden /workshop-mlbiostatistics

Geared towards life scientists wanting to be able to understand and use basic statistical and machine learning methods

VectorPosse /intro_stats

Introduction to Statistics: an integrated textbook and workbook using R

FanWangEcon /Stat4Econ

Introductory Statistics for Economists (Undergraduate Intro Course)

fcorowe /sl

Introduction to Statistical Learning

timothyfraser /sysen

Course repository for learning R or Python for Cornell course SYSEN 5300: Systems Engineering and Six Sigma for the Design and Operation of Reliable Systems

cescalara /BayesianWorkflow

A course on implementing a Bayesian workflow using Stan.

SaiSampathKedari /Statistical-Inference-Theory

Comprehensive notes and solved problem sets from Casella-Berger: Statistical Inference (Chapters 6-9), covering essential concepts in Statistical Inference. Topics include Sufficiency, Point Estimation, Hypothesis Testing, and Interval Estimation, crucial for Statistical Machine Learning, Computational Statistics, and Probabilistic Robotics.

pateld1 /Course-Notes-in-Tex-CUNY-QC

Course notes from several math and computer science courses from CUNY Queens College.

hugoquene /QMS-EN

Textbook on Quantitative Methods and Statistics (English version, EN), available at https://hugoquene.github.io/QMS-EN/

scidesign /designscistud

Sample course materials that can be used with Design and Analysis of Experiments and Observational Studies using R

fahd09 /learn-stat-with-r

Notebooks from an introductory course in statistics using R.

fabarrios /ProbEstad

Probability and statistics class at ENESj