Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
-
Updated
Nov 12, 2022 - Jupyter Notebook
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
R Code Examples for Data Analytics
Streamline a data analysis process
Introductory Statistics for Economists (Undergraduate Intro Course)
The material for a course on Statistics for ecologists I teach every year to Master students.
A DataCamp Data Science module for the Social Statistics MOOC at the University of Helsinki, Finland.
Materials for HSE course "Applied Statistics in Machine Learning" taught during 2018.
Materials for HSE Fintech course "Statistics of Random Processes" taught during 2018.
Introduction to Statistics: an integrated textbook and workbook using R
Probability and statistics class at ENESj
Interactive flashcards and quizzes, as well as additional tutorials, animations, and code, for "Foundations of Data Science with Python" by John M. Shea
A course on implementing a Bayesian workflow using Stan.
Introduction to Statistical Learning
Sample course materials that can be used with Design and Analysis of Experiments and Observational Studies using R
tekstboek Kwantitatieve Methoden en Statistiek (Nederlandstalige versie, NL), beschikbaar via https://hugoquene.github.io/KMS-NL/
Textbook on Quantitative Methods and Statistics (English version, EN), available at https://hugoquene.github.io/QMS-EN/
Materials for Yandex Data School course "Applied Statistics in Machine Learning"
Materials for HSE ML course "Statistics of Random Processes" taught during 2018.
Course notes from several math and computer science courses from CUNY Queens College.
Data Mining at UCSB with Professor Sang Oh (Fall 2016)
Add a description, image, and links to the statistics-course topic page so that developers can more easily learn about it.
To associate your repository with the statistics-course topic, visit your repo's landing page and select "manage topics."