RamiKrispin / atsaf
Applied Time Series Analysis and Forecasting
☆167Updated 2 years ago
Alternatives and similar repositories for atsaf:
Users that are interested in atsaf are comparing it to the libraries listed below
- Deploying flexdashboard on Github Pages with Docker and Github Actions☆216Updated last year
- Forecast the US demand for electricity☆99Updated 3 years ago
- Hands-On-Time-Series-Analysis-with-R☆115Updated 2 years ago
- A tutorial for setting a new machine with core data science tools☆292Updated 4 months ago
- All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman …☆142Updated 7 months ago
- A guide for deploying Shinylive Python application into Github Pages☆134Updated last year
- ☆202Updated 2 years ago
- Slides to accompany Forecasting: Principles and Practice, 3rd edition☆73Updated last year
- The Tidymodels Extension for Time Series Boosting Models☆57Updated 2 years ago
- Handbook of Graphs and Networks in People Analytics☆116Updated last year
- R SDK for TimeGPT☆35Updated 2 months ago
- ☆80Updated last year
- Handbook of Regression Modeling in People Analytics☆158Updated 3 months ago
- An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms☆130Updated 4 years ago
- Source for book "Feature Engineering A-Z"☆141Updated last week
- Materials for the useR!2024 conference workshop "Deploy and Monitor ML Pipelines with R, Open Source, and Free Applications"☆56Updated this week
- Testing hypotheses through statistical models opens a universe of new possibilities. Learn how to improve your daily work with this appro…☆82Updated last year
- Python for Data Science. This repository hosts the code behind the online book that teaches you how to use Python for data science.☆138Updated 3 months ago
- ☆64Updated 5 months ago
- Trees are all you need☆114Updated 11 months ago
- Materials for the AI Dev 2024 conference workshop "Deploy and Monitor ML Pipelines with Python, Open Source, and Free Applications"☆93Updated this week
- Introductory guide to the art and science of data visualisation. Insights, advice, and examples (with code) to make data outputs more rea…☆153Updated 5 months ago
- (WIP) Getting started with Docker - An introduction to Docker with data science and engineering applications☆129Updated last year
- ☆44Updated 2 months ago
- Modeltime unlocks time series forecast models and machine learning in one framework☆553Updated 6 months ago
- ☆223Updated 4 years ago
- Slides for a forecasting course based on "Forecasting: Principles and Practice"☆173Updated 6 months ago
- Resources for Survival Analysis☆93Updated 6 months ago
- ☆282Updated last year
- A Tutorial for Setting R Development Environment with VScode, Dev Containers, and Docker☆264Updated 9 months ago