einatboro / awesome-survival-analysis
Resources for Survival Analysis
☆92Updated 3 months ago
Alternatives and similar repositories for awesome-survival-analysis:
Users that are interested in awesome-survival-analysis are comparing it to the libraries listed below
- Unstructured Code with interesting analysis☆36Updated 3 months ago
- Applied Time Series Analysis and Forecasting☆167Updated last year
- Website sources for Applied Machine Learning for Tabular Data☆132Updated this week
- ☆64Updated last month
- R-Package for estimating CLV☆55Updated last month
- Source for book "Feature Engineering A-Z"☆133Updated this week
- A grammar of data manipulation for pandas inspired by tidyverse☆95Updated 10 months ago
- A guide for deploying Shinylive Python application into Github Pages☆133Updated last year
- The Tidymodels Extension for Time Series Boosting Models☆56Updated 2 years ago
- ☆60Updated this week
- How to run Python ML models in R☆16Updated 3 years ago
- Version, share, deploy, and monitor models.☆61Updated this week
- Feature-based Forecast Model Selection (FFORMS)☆79Updated 2 years ago
- Testing hypotheses through statistical models opens a universe of new possibilities. Learn how to improve your daily work with this appro…☆72Updated last year
- ☆41Updated last week
- Packages of Example Data for The Effect☆135Updated 2 months ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆48Updated last month
- Spells for everyday living. (also a book coming out in 2025)☆58Updated this week
- Flexible tool for bias detection, visualization, and mitigation☆86Updated 2 years ago
- ☆75Updated 8 months ago
- Handbook of Graphs and Networks in People Analytics☆114Updated 8 months ago
- That's weird: Anomaly detection using R☆42Updated last month
- Deploying flexdashboard on Github Pages with Docker and Github Actions☆215Updated last year
- An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms☆131Updated 4 years ago
- Python for Data Science. This repository hosts the code behind the online book that teaches you how to use Python for data science.☆129Updated last week
- Select, weight and analyze complex sample data☆61Updated last week
- CRAN Task View: Anomaly Detection with R 🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛍️🛒🛒☆110Updated last year
- A Pythonic microframework for multi-armed bandit problems☆100Updated this week
- NeuralProphet Algorithm in R for Tidymodels☆24Updated 3 years ago