Alternatives and similar repositories for ml-class-iap2017:

Users that are interested in ml-class-iap2017 are comparing it to the libraries listed below

• PhilChodrow / cos_2017
  Course materials for the ORC's 2017 IAP course, "Computing in Optimization and Statistics"
  ☆19Updated 7 years ago
• hammadshaikhha / Causal-Inference-Mastery
  Notes and simulations on graduate level causal inference in statistics with applications to social sciences.
  ☆23Updated 5 years ago
• deaneckles / randomization_inference
  Tutorial in randomization inference, experimental design and analysis, and experiments in networks.
  ☆28Updated 9 years ago
• zhangry868 / Bayesian-Statistics
  Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.
  ☆20Updated 9 years ago
• ucb-stat243 / stat243-fall-2016
  Course materials for Stat 243, fall 2016, at UC Berkeley
  ☆9Updated 8 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
• inf16nyu / home
  ☆77Updated 8 years ago
• ustunb / slim-python
  simple customizable scoring systems in python
  ☆40Updated last year
• ck37 / varimpact
  Variable importance through targeted causal inference, with Alan Hubbard
  ☆57Updated 2 years ago
• amit-sharma / splitdoor-causal-criterion
  A method for estimating causal effects in time-series data. Uses available data to automatically find natural experiments for identifying…
  ☆15Updated 5 years ago
• harvard-ml-courses / cs181-lectures
  ☆38Updated 6 years ago
• berkeley-stat243 / stat243-fall-2015
  This repository holds all course materials for the fall 2015 offering of Statistics 243 at UC Berkeley.
  ☆34Updated 7 years ago
• ramhiser / activelearning
  Active Learning in R
  ☆46Updated 7 years ago
• ucb-stat154 / stat154-fall-2017
  Course materials for Stat 154, fall 2017, at UC Berkeley
  ☆16Updated 7 years ago
• nealbob / econlearn
  A machine learning toolkit for economists
  ☆18Updated 9 years ago
• taheris / BRML.jl
  Julia translation for David Barber's Bayesian Reasoning and Machine Learning MATLAB toolbox
  ☆15Updated 9 years ago
• zixiaojindao / time-series-survey
  ☆31Updated 11 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆55Updated 9 years ago
• evidation-opensource / ContinuousTimeMarkovModel
  Continuous-time Markov model with discrete observations
  ☆23Updated last year
• fonnesbeck / ngcm_pandas_2017
  Python data analysis course for 2017 NGCM Summer Academy
  ☆20Updated 7 years ago
• cliburn / sta-663-2015
  Course materials for STA663
  ☆37Updated 8 years ago
• ArthurSpirling / Text-as-Data-Class-Spring-2018-
  Lectures from my DS Text as Data course offered in Spring 2018.
  ☆77Updated 3 years ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆27Updated 2 years ago
• rbas2015 / CausalFX
  CausalFX R Package
  ☆13Updated 9 years ago
• AM207 / 2018spring
  ☆3Updated 6 years ago
• fditraglia / Econ103Public
  Public files for Econ 103
  ☆14Updated 2 years ago
• tansey / hrt
  The holdout randomization test: feature selection using black box predictive models
  ☆22Updated 4 years ago
• SAFE-ICU / wiseR
  A R/Shiny application for learning, reasoning, inference, validation, visualization and web-deployment of Bayesian Network Models
  ☆9Updated 3 years ago
• spotify-research / tdsurv
  Code for the paper "Temporally-Consistent Survival Analysis".
  ☆24Updated 2 years ago
• TeconomicsBlog / notebooks
  ☆97Updated 7 years ago