business-science / modeltime
Modeltime unlocks time series forecast models and machine learning in one framework
☆522Updated last month
Related projects: ⓘ
- Time series analysis in the `tidyverse`☆611Updated 3 months ago
- Tidy time series forecasting☆559Updated this week
- R package for automation of machine learning, forecasting, model evaluation, and model interpretation☆235Updated last month
- Feature Extraction And Statistics for Time Series☆291Updated this week
- An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms☆130Updated 4 years ago
- 📍 Interactive Studio for Explanatory Model Analysis☆322Updated last year
- Tidy anomaly detection☆338Updated 8 months ago
- Utilities for analyzing Bayesian models and posterior distributions☆561Updated this week
- Tools for time series analysis and forecasting☆421Updated 7 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 …☆132Updated this week
- Automate Data Exploration and Treatment☆508Updated 7 months ago
- A tidy unified interface to models☆586Updated this week
- ☆222Updated 4 years ago
- Easily install and load the tidymodels packages☆766Updated last month
- Pipeable steps for feature engineering and data preprocessing to prepare for modeling☆564Updated this week
- An R package for tidy stacked ensemble modeling☆295Updated 3 weeks ago
- Tidy Temporal Data Frames and Tools☆528Updated 2 months ago
- Variable Importance Plots (VIPs)☆187Updated 10 months ago
- Tidy interface to polars☆333Updated 7 months ago
- iml: interpretable machine learning R package☆491Updated this week
- Code and content for "Tidy Modeling with R"☆587Updated last year
- Speed Up Exploratory Data Analysis (EDA)☆132Updated 8 months ago
- Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)☆1,004Updated last week
- Multivariate Imputation by Chained Equations☆437Updated this week
- Methods for Correlation Analysis☆430Updated last week
- Analytics & Machine Learning R Sidekick☆233Updated last week
- Data quality assessment and metadata reporting for data frames and database tables☆862Updated last week
- mlr3: Machine Learning in R - next generation☆929Updated this week
- A central repository of Business Science presentations☆164Updated 4 years ago
- Run predictions inside the database☆257Updated 8 months ago