minimaxir / sf-arrests-when-whereLinks
R Code + Jupyter notebook for replicating analysis of when and where arrests in San Francisco occur.
☆23Updated 9 years ago
Alternatives and similar repositories for sf-arrests-when-where
Users that are interested in sf-arrests-when-where are comparing it to the libraries listed below
Sorting:
- R Code + R Notebook on how to process and visualize the official IMDb datasets.☆12Updated 7 years ago
- NYU Shortcourse -- "Data Science and Social Science" materials☆38Updated 6 years ago
- Data visualization literacy workshop for Wikimedia Foundation's All Hands 2018 staff conference☆29Updated 7 years ago
- ☆8Updated 9 years ago
- ☆22Updated last month
- R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"☆61Updated 2 years ago
- Notes on generalized linear models☆109Updated 6 years ago
- Blog☆27Updated last week
- ☆24Updated 6 years ago
- This is a read-only mirror of the CRAN R package repository. bsts — Bayesian Structural Time Series☆34Updated last year
- An R package for better visualizing a statistical learning model☆35Updated 2 years ago
- Exploratory and diagnostic machine learning tools for R☆73Updated 3 years ago
- 2D Outlier Analysis using Shiny☆48Updated 2 years ago
- exploratory data analysis using random forests☆68Updated 7 years ago
- Exploratory visualizations of SF home sale records from San Francisco (2009-2015)☆16Updated 8 years ago
- Visualisation for EDA☆32Updated 8 years ago
- Inspired by John Foreman. Created by the crowds.☆54Updated last year
- R for Reproducible Research tutorial☆28Updated 8 years ago
- An application that allows the user to easily convert frames to very-high-quality GIFs on OS X.☆26Updated 9 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 3 months ago
- Short programming tutorials pertaining to data analysis.☆15Updated 8 years ago
- Selective Bayesian Forest Classifier - R package for simultaneous feature selection and classification. See paper: http://arxiv.org/abs/1…☆16Updated 3 years ago
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 7 years ago
- This is a quick tutorial that explains R package development☆19Updated 9 years ago
- SigOpt's public R client☆14Updated last year
- A system for blending regression models in R☆75Updated 12 years ago
- An R Package for Quick Uncertainty Intervals☆107Updated last year
- Information Package☆44Updated 9 years ago
- ☆88Updated 9 years ago
- Slides and materials for the "Teaching Data Science at All Levels" invited session at ENAR 2018☆20Updated 7 years ago