mitdbg / ml-class-iap2017
☆20Updated 8 years ago
Alternatives and similar repositories for ml-class-iap2017:
Users that are interested in ml-class-iap2017 are comparing it to the libraries listed below
- Tutorial in randomization inference, experimental design and analysis, and experiments in networks.☆28Updated 9 years ago
- A method for estimating causal effects in time-series data. Uses available data to automatically find natural experiments for identifying…☆15Updated 5 years ago
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 6 years ago
- Variable importance through targeted causal inference, with Alan Hubbard☆57Updated 2 years ago
- This repository includes all the data analyses I carry out for my general exams reading, Spring 2015☆64Updated 9 years ago
- CausalFX R Package☆13Updated 9 years ago
- An implementation of the SuperLearner algorithm in Python based on scikit-learn.☆25Updated 10 years ago
- simple customizable scoring systems in python☆40Updated last year
- ☆77Updated 8 years ago
- A collection of questions and solutions to problems presented at Rasmus Bååth's Bayesian probabilities workshop.☆9Updated 9 years ago
- Active Learning in R☆46Updated 7 years ago
- Tutorial on multilevel modeling, using Gelman radon example☆56Updated 9 years ago
- Berlin Bayesians' solutions to Bayesian Data Analysis, 3rd edition.☆21Updated 5 years ago
- Course materials for Stat 243, fall 2016, at UC Berkeley☆9Updated 8 years ago
- Notes and simulations on graduate level causal inference in statistics with applications to social sciences.☆23Updated 5 years ago
- ☆38Updated 6 years ago
- Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.☆20Updated 9 years ago
- Discussion for Stan for economists☆10Updated 9 years ago
- Causal Inference Using Quasi-Experimental Methods☆20Updated 4 years ago
- Bayesian Modeling using Stan in R (May/June 2016)☆54Updated 8 years ago
- Course materials for the ORC's 2017 IAP course, "Computing in Optimization and Statistics"☆19Updated 7 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago
- Julia translation for David Barber's Bayesian Reasoning and Machine Learning MATLAB toolbox☆15Updated 9 years ago
- This is the course website for MSAN 601: "Linear Regression Analysis" at the University of San Francisco. Assignments, lecture notes, and…☆19Updated 7 years ago
- YouTube course using IPython and Jupyter notebooks to do statistical analysis.☆19Updated 9 years ago
- This repository holds all course materials for the fall 2016 offering of Statistics 238 (Bayesian Statistics) at UC Berkeley.☆30Updated 8 years ago
- DSCI 511: Programming for Data Science☆13Updated 3 years ago
- Notebooks containing R code from Richard McElreath's Statistical Rethinking☆72Updated 9 years ago
- Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds☆11Updated 5 years ago
- ☆24Updated 9 years ago