Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
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Updated
Nov 12, 2022 - Jupyter Notebook
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
Streamline a data analysis process
The material for a course on Statistics for ecologists I teach every year to Master students.
R Code Examples for Data Analytics
Materials for HSE course "Applied Statistics in Machine Learning" taught during 2018.
Interactive flashcards and quizzes, as well as additional tutorials, animations, and code, for "Foundations of Data Science with Python" by John M. Shea
Introduction to Statistics: an integrated textbook and workbook using R
Introductory Statistics for Economists (Undergraduate Intro Course)
Introduction to Statistical Learning
Course notes from several math and computer science courses from CUNY Queens College.
Notebooks from an introductory course in statistics using R.
Materials for Yandex Data School course "Applied Statistics in Machine Learning"
A course on implementing a Bayesian workflow using Stan.
Material related to an Introductory Statistics Course
Probability and statistics class at ENESj
Sample course materials that can be used with Design and Analysis of Experiments and Observational Studies using R
Textbook on Quantitative Methods and Statistics (English version, EN), available at https://hugoquene.github.io/QMS-EN/
Course website for "Targeted Learning in Biomedical Big Data" (Spring 2018, UC Berkeley)
Course repository for learning R for Cornell course SYSEN 5300: Systems Engineering and Six Sigma for the Design and Operation of Reliable Systems
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