Dr. Rob J. Hyndman - Ensemble Forecasts with {fable}

Dr. Adam Obeng - Adaptive Experimentation

Prof Rob Hyndman: Feature-based forecasting algorithms for large collections of time series

Alex Engler - Better DataViz in ggplot2: Tips, Tricks & Examples

Forecasting time series using R by Prof Rob J Hyndman at Melbourne R Users

1. Introduction to Statistics

David Robinson - Ten Tremendous Tricks in the Tidyverse

Time Series Forecasting Example in RStudio

Alex Gurvich - Using Visual Perception to Find Patterns in Data and Drive Insight

fable: Tidy forecasting in R

Statistical Learning: 1.1 Opening Remarks

Jared P. Lander -Mapping Ever Larger Data with PostGIS, DuckDB, GeoArrow and deck.gl

Time Series Forecasting with XGBoost - Use python and machine learning to predict energy consumption

Rachel Gidaro - An Introduction to Estimation and Comparison of Discrete Variate Time Processes

Two Effective Algorithms for Time Series Forecasting

modeltime: Time series forecasting in R with tidymodels

4. Cognitive Neuroscience Methods I

16. Learning: Support Vector Machines

Jessica Klein -The Role of R in Census Bureau Data Reporting

Forecasting Multiple Series with the Fable Package