8 open source projects by m-clark

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.

✭ 146

python r matlab julia zip bayesian gaussian-processes stan pca

2. Mixed Models With R

Covers the basics of mixed models, mostly using @lme4

✭ 48

3. Lazerhawk

An R package of miscellaneous functions.

✭ 5

4. models-by-example

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

5. mixed-models-with-r-workshop-2019

Workshop on using Mixed Models with R

✭ 22

r brms variance-components mixed-models random-effects lme4 nlme random-coefficients glmmtmb

6. generalized-additive-models-workshop-2019

A workshop on using generalized additive models and the mgcv package.

✭ 23

r nonlinear splines mixed-models generalized-additive-models additive-models mgcv penalized-regression penalized-spline

7. introduction-to-machine-learning

A document covering machine learning basics. 🤖📊

✭ 17

r Jupyter Notebook TeX machine-learning neural-network random-forest svm cross-validation regularization knn loss-functions bias-variance

8. NineteenEightyR

🌄 📼 like totally rad

✭ 53

r lazerhawk 80s com-truise ferris-bueller airwolf miami-vice macgyver 808 crockett tubbs kitt breakfast-club 2-dollars bitchin-camaro jamonit fer-sure gag-me-with-a-spoon b-a-baracus risky-business

1-8 of 8 user projects