fcampelo / Design-and-Analysis-of-ExperimentsLinks
Lecture Notes on Design & Analysis of Experiments
☆124Updated 2 months ago
Alternatives and similar repositories for Design-and-Analysis-of-Experiments
Users that are interested in Design-and-Analysis-of-Experiments are comparing it to the libraries listed below
Sorting:
- Course notes for Computational Statistics and Statistical Compuing☆63Updated 6 years ago
- This repository includes all the data analyses I carry out for my general exams reading, Spring 2015☆64Updated 10 years ago
- Repository for a workshop on Bayesian Decision Analysis☆74Updated 2 years ago
- Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA☆137Updated 8 years ago
- Notebooks of Python and R code which illustrates basic causal inference using simulated data☆23Updated 6 years ago
- ☆97Updated 7 years ago
- Python code for Computer Age Statistical Inference☆51Updated 6 years ago
- Lecture Notes on Statistical Inference☆77Updated last year
- Code and examples from Business Data Science☆171Updated 4 years ago
- Educational resources☆105Updated 4 years ago
- Slides for a forecasting course based on "Forecasting: Principles and Practice"☆172Updated last year
- An introduction to Bayesian statistics using Python and (coming soon) R.☆134Updated 2 years ago
- The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis☆24Updated 3 years ago
- Small web apps that illustrate statistical concepts☆130Updated 4 years ago
- One day workshop for machine learning with scikit-learn☆63Updated 2 years ago
- Introduction to Operations Research☆100Updated 6 years ago
- D-Lab's 3 hour introduction to data wrangling in Python. Learn how to import and manipulate dataframes using pandas in Python.☆52Updated 3 years ago
- ☆73Updated 7 years ago
- Bayesian Analysis with Python - Second Edition, published by Packt☆135Updated 4 years ago
- ☆232Updated 4 years ago
- The material presented here is for the 4-week summer course Network Analysis I in Summer, 2017 for the Inter-university Consortium for Po…☆40Updated 8 years ago
- R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with g…☆48Updated 5 years ago
- Implementing MCMC sampling from scratch in R for various Bayesian models☆111Updated last year
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago
- Lectures on "crime and political corruption analysis using data mining, machine learning and complex networks" at the School of Applied M…☆43Updated 6 years ago
- Notes and simulations on graduate level causal inference in statistics with applications to social sciences.☆23Updated 6 years ago
- ☆27Updated 6 years ago
- Explorations of survival analysis in Python☆50Updated 2 years ago
- Design-of-experiment (DOE) generator for science, engineering, and statistics☆279Updated last year
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆52Updated 6 months ago