Public Applications & Models 8

teaching of ml

Demo of Bayesian updating for teaching purposes. By Johan Henriksson, www.henlab.org. Source at https://github.com/henriksson-lab/demo_bayesupdate

  • Owner: Johan Henriksson

Demo of ROC curves, PR curves, and decision boundaries for teaching purposes, www.henlab.org. By Johan Henriksson. Source at https://github.com/henriksson-lab/demo_roc

  • Owner: Johan Henriksson

Demo of xgboost and decision trees for teaching purposes. By Johan Henriksson, www.henlab.org. Source at https://github.com/henriksson-lab/demo_xgboost

  • Owner: Johan Henriksson

Demo of penalized linear models (elastic net) for teaching purposes. By Johan Henriksson, www.henlab.org. Source at https://github.com/henriksson-lab/demo_elasticnet

  • Owner: Johan Henriksson

Demo of Bayesian linear models for teaching purposes. By Johan Henriksson, www.henlab.org. Source at https://github.com/henriksson-lab/demo_bayesianlinmod

  • Owner: Johan Henriksson

Demo of markov chains and HMMs for teaching purposes. By Johan Henriksson, www.henlab.org. Source at https://github.com/henriksson-lab/demo_markovchain

  • Owner: Johan Henriksson

Demo of the Poisson distribution, as relevant for NGS, for teaching purposes, www.henlab.org. By Johan Henriksson. Source at https://github.com/henriksson-lab/demo_poisson

  • Owner: Johan Henriksson

Demo of statistical distributions for teaching purposes. By Johan Henriksson, www.henlab.org. Source at https://github.com/henriksson-lab/demo_statdist

  • Owner: Johan Henriksson