kaybenleroll / data_workshopsLinks
This repository contains all the files for the various workshops created as part of Dublin R
☆55Updated last month
Alternatives and similar repositories for data_workshops
Users that are interested in data_workshops are comparing it to the libraries listed below
Sorting:
- My Jupyter notebook server☆19Updated 3 years ago
- ☆88Updated 9 years ago
- Bayesian Modeling using Stan in R (May/June 2016)☆54Updated 9 years ago
- ☆78Updated 10 years ago
- Library of Stan Models for Survival Analysis☆124Updated 5 years ago
- Task description and data for candidates applying to be a Data Analyst in the Discovery department at Wikimedia Foundation.☆111Updated 8 years ago
- Exploratory and diagnostic machine learning tools for R☆73Updated 3 years ago
- For the "Practical Machine Learning with H2O" book, to be published by O'Reilly (ISBN, etc. coming soon)☆91Updated 7 years ago
- ☆90Updated 4 years ago
- ☆97Updated 7 years ago
- Python solver for mixed-effects models☆97Updated 2 months ago
- PyDataLondonTutorial☆26Updated 9 years ago
- Tutorial in randomization inference, experimental design and analysis, and experiments in networks.☆29Updated 9 years ago
- Anomalous time series package for R☆93Updated 7 years ago
- Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)☆58Updated 7 years ago
- This is a read-only mirror of the CRAN R package repository. bsts — Bayesian Structural Time Series☆34Updated last year
- ☆69Updated 9 years ago
- Files for Modern Statistical Workflow workshop☆10Updated 9 years ago
- A collection of IPython Notebooks containing my research.☆20Updated 6 years ago
- Information Package☆44Updated 9 years ago
- bayesian graphical modelling and a bit of do-calculus for discrete data.☆27Updated 5 years ago
- R in Finance 2016 Seminar: Modern Bayesian Tools for Time Series Analysis☆28Updated 9 years ago
- "Network/Graph Analysis in Python" repository of 3 hours training session held at ODSC East 2018 and JupyterCon 2018.☆37Updated 6 years ago
- A compendium of the pitfalls and problems that arise when using standard statistical methods☆246Updated 11 years ago
- Educational resources☆104Updated 3 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 7 years ago
- ☆26Updated 9 years ago
- Solutions for the practice problems☆146Updated 4 years ago
- Notes on generalized linear models☆109Updated 6 years ago
- Simple scripts to setup a fresh data science box using an Ubuntu 12.04.* LTS 64-bit server running on an EC2☆163Updated 11 years ago