cwebkas Goto Github PK

awesome-geospatial

Long list of geospatial tools and resources

bgd-aid-distribution

collective-movement-exploration

Collective Movement Explorer - Explore and Analyse Collective Animal Behaviour

data-warehouse-cloud

Data Warehouse Cloud Technical Content

devopslearning

fforma

R package for Feature-based Forecast Model Averaging

german-intro-to-r-

This repo contains a basic introduction to R, initiated for a weekend course at the Department of Politics and Administration by Samuel Brielmeier and Quixuan Yang. Modified by Phil Bosh, Laura Korte and me. Always open for new input.

helpyourself_bot

Some inspiration to create a help yourself bot within a google ecosystem

lecture0

m4metalearning

motionglyphs

Visual Abstraction of Spatio-Temporal Networks in Collective Animal Behavior

movekit

Simple and effective tools for the analysis of movement data

research-llm-development

Development with LLMs workshop

seer

:chart_with_upwards_trend: Feature-based Forecast Model Selection (FFORMS) :clock1: :clock130: :clock10: :clock1030: :clock11: :clock1130: :clock12: :clock1230: :clock2: :clock230: :clock3: :clock330: :clock4: :clock430: :clock5: :clock530: :clock6: :clock630: :clock7: :clock730: :clock8: :clock830: :clock9: :clock930:

surveymethodologytutorial

A full introduction to practical Survey Methodology, using contemporary R frameworks. Conceptualized and taught @UniKonstanz

text_classification

all kinds of text classification models and more with deep learning

timeseriesrecommendersystem

virgilio

Your new Mentor for Data Science E-Learning.

youtube_polarization

In the project I request Video Info via API on a politically relevant search term, do basic analytics and then do network analysis of the recommended videos. Further goals are: Training a model to categorize videos with similar patterns in descriptions, tags, titles. Final goal is to investigate the Hypothesis, that polarizing content tends to be more often recommended, independent of popularity.