Training materials
Keywords: R or statistics
and Authors: Causal Inference in R or Eija Korpelainen or Erasmus+ Programme or Kaivan Kamali or allegra.via Via
-
r-causal/causal-inference-in-R
-
hands-on tutorial
Hands-on for 'Introduction to Machine Learning using R' tutorial
•• intermediatestatistics interactive-tools -
hands-on tutorial
Hands-on for 'Image classification in Galaxy with fruit 360 dataset' tutorial
-
hands-on tutorial
Hands-on for 'Advanced R in Galaxy' tutorial
•• intermediatedata-science R -
hands-on tutorial
Hands-on for 'dplyr & tidyverse for data processing' tutorial
••• advanceddata-science R jupyter-notebook rmarkdown-notebook -
hands-on tutorial
Hands-on for 'Deep Learning (Part 2) - Recurrent neural networks (RNN)' tutorial
-
slides
Slides for 'Recurrent neural networks (RNN) Deep Learning - Part 2' tutorial
-
hands-on tutorial
Hands-on for 'Deep Learning (Part 3) - Convolutional neural networks (CNN)' tutorial
-
hands-on tutorial
Hands-on for 'Deep Learning (Part 1) - Feedforward neural networks (FNN)' tutorial
-
slides
Slides for 'Image classification in Galaxy with fruit 360 dataset' tutorial
- 1
- 2