fcampelo / Design-and-Analysis-of-Experiments

Related projects: ⓘ

• lgaalves / AppliedMathSchoolLectures
  Lectures on "crime and political corruption analysis using data mining, machine learning and complex networks" at the School of Applied M…
  ☆42Updated 5 years ago
• hallpaz / cda2020
  Ciência de Dados Aplicada 2020
  ☆27Updated 4 years ago
• paulozip / arauto
  An open-source tool for quick Time Series Analysis and Forecasting
  ☆103Updated last year
• rwilson4 / bootstrap-stat
  Statistical Bootstrap in Python
  ☆10Updated 4 years ago
• bambinos / educational-resources
  Educational resources
  ☆98Updated 2 years ago
• twiecki / Bayesian-Modelling-in-Python
  A python tutorial on bayesian modeling techniques (PYMC3)
  ☆23Updated 8 years ago
• eigenfoo / tests-as-linear
  Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
  ☆87Updated last month
• MLIME / MAC0460
  All contents from the course MAC0460 - An introduction to machine learning
  ☆48Updated 3 months ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆61Updated 5 years ago
• matheusfacure / Tutoriais-de-AM
  Algoritmos de aprendizado de máquina criados manualmente para maior compreensão das suas funcionalidades
  ☆71Updated 4 years ago
• alexandrahotti / Solutions-to-A-Students-Guide-to-Bayesian-Statistics-by-Ben-Lambert
  My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.
  ☆62Updated 3 months ago
• junpenglao / All-that-likelihood-with-PyMC3
  ☆74Updated 6 years ago
• aschleg / hypothetical
  Hypothesis and statistical testing in Python
  ☆61Updated 4 years ago
• natematias / research_in_python
  This repository includes all the data analyses I carry out for my general exams reading, Spring 2015
  ☆64Updated 9 years ago
• PrACiDa / EBAD
  ☆10Updated this week
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆45Updated 3 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆231Updated 2 years ago
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆44Updated 5 years ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆252Updated 2 months ago
• joelmiller / DynamicProcessesOnNetworks
  ☆35Updated 4 years ago
• oxfordinternetinstitute / sds-python
  A course in the fundamental skills for data science. Primarily python coding, web scraping and data wrangling along with some special top…
  ☆78Updated 5 years ago
• zhangry868 / Bayesian-Statistics
  Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.
  ☆20Updated 8 years ago
• Pyomo / PyomoGettingStarted
  ☆36Updated this week
• FJRubio67 / StatisticalInference
  Lecture Notes on Statistical Inference
  ☆74Updated last year
• parsing-science / pymc3_models
  ☆157Updated 2 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆153Updated 4 years ago
• datascienceandcomplexnetworks / book_code
  This project contains the code for the OUP book Data Science & Complex Networks
  ☆59Updated 8 years ago
• UCIDataScienceInitiative / PredictiveModeling_withPython
  Notebooks for the Course
  ☆36Updated 6 years ago
• SimonOuellette35 / Introduction_to_PyMC3
  ☆40Updated 5 years ago
• bradleyfay / Causal-Inference-for-Data-Scientists
  Notebooks of Python and R code which illustrates basic causal inference using simulated data
  ☆23Updated 5 years ago