DataForScience / PyData2020Links
Why And What If: Causal Inference for Everyone
☆18Updated 4 years ago
Alternatives and similar repositories for PyData2020
Users that are interested in PyData2020 are comparing it to the libraries listed below
Sorting:
- Time Series Modeling: ML and Deep Learning Approaches with Python☆22Updated 4 years ago
- Introduction to Scientific Python☆15Updated 6 years ago
- ☆94Updated 3 years ago
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆25Updated last week
- In which I play with the ideas surrounding causality☆54Updated 3 years ago
- Anaconda plugin for StarCluster☆21Updated last year
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago
- git mirror of CRAN Task View Time Series files☆48Updated 3 years ago
- Simulation for Data Science with R by Packt Publishing☆39Updated 2 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Repository for a workshop on Bayesian Decision Analysis☆73Updated 2 years ago
- ☆45Updated last year
- Course materials for the ORC's 2017 IAP course, "Computing in Optimization and Statistics"☆19Updated 8 years ago
- "Actionable Ethics for Data Scientists" Workshop Material @ ODSC☆10Updated last year
- Repo containing code for Towards Data Science articles☆29Updated 5 years ago
- Applied Probability Theory for Everyone☆119Updated last year
- Teaching materials for ETC3580☆25Updated 6 years ago
- ☆27Updated 6 years ago
- Notebooks of Python and R code which illustrates basic causal inference using simulated data☆23Updated 6 years ago
- Network and Graph Algorithms From Scratch☆112Updated 2 years ago
- Course materials for BANA 7052 (Applied Linear Regression) at UC☆14Updated 5 years ago
- Educational resources☆104Updated 3 years ago
- ☆97Updated 7 years ago
- A python package for hierarchical forecasting, inspired by hts package in R.☆28Updated 8 months ago
- ☆14Updated 7 years ago
- ☆44Updated 4 years ago
- The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…☆30Updated last month
- Evaluation of Methods for dealing with Missing data in Machine Learning algorithms☆23Updated 4 years ago
- Notes and simulations on graduate level causal inference in statistics with applications to social sciences.☆23Updated 6 years ago
- A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session☆32Updated 3 years ago