TalksRepository of publicly available talks by Leon Eyrich Jessen, PhD. Talks cover Data Science and R in the context of research
Stars: ✭ 16 (-5.88%)
Mutual labels: tidyverse, teaching, datascience
bioc 2020 tidytranscriptomicsWorkshop on tidytranscriptomics: Performing tidy transcriptomics analyses with tidybulk, tidyverse and tidyheatmap
Stars: ✭ 25 (+47.06%)
Mutual labels: workshop, tidyverse
teach-shinyMaterials for the Shiny Train the Trainer workshop
Stars: ✭ 38 (+123.53%)
Mutual labels: workshop, teaching
polisci150bMachine Learning for Social Science
Stars: ✭ 56 (+229.41%)
Mutual labels: teaching, social-sciences
BestPracticesWorkshopRepository for the workshop "Best practices on development"
Stars: ✭ 14 (-17.65%)
Mutual labels: workshop, teaching
2017-summer-workshopExercises, data, and more for our 2017 summer workshop (funded by the Estes Fund and in partnership with Project Jupyter and Berkeley's D-Lab)
Stars: ✭ 33 (+94.12%)
Mutual labels: workshop, tidyverse
wyeWye is a workshop collaboration software
Stars: ✭ 66 (+288.24%)
Mutual labels: workshop, teaching
navo-workshopTutorial notebooks for how to use PyVO to access NASA and other data in Python.
Stars: ✭ 27 (+58.82%)
Mutual labels: workshop
amqv7-workshopNo description or website provided.
Stars: ✭ 22 (+29.41%)
Mutual labels: workshop
book-pythonPython 3: from None to Machine Learning; ISBN: 9788395718625
Stars: ✭ 127 (+647.06%)
Mutual labels: workshop
plotmeComplex plots made easier
Stars: ✭ 14 (-17.65%)
Mutual labels: tidyverse
js-intro-workshopAn introductory workshop on JavaScript for beginners https://muses-code-js.github.io/js-intro-workshop/
Stars: ✭ 52 (+205.88%)
Mutual labels: workshop
reinforcement learning course materialsLecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
Stars: ✭ 765 (+4400%)
Mutual labels: teaching
data-science-popular-algorithmsData Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.
Stars: ✭ 65 (+282.35%)
Mutual labels: datascience
xamarinworkshopA Xamarin beginner's workshop
Stars: ✭ 49 (+188.24%)
Mutual labels: workshop
ML-CaPsuleML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
Stars: ✭ 177 (+941.18%)
Mutual labels: datascience
gretel-python-clientThe Gretel Python Client allows you to interact with the Gretel REST API.
Stars: ✭ 28 (+64.71%)
Mutual labels: datascience