mark-yong

mark-yong's Stars

• UCB-MIDS/w241

  This is the course repository for w241 and 290 -- Experiments and Causality.

  Language:JavaScript1614

• pymc-devs/pymc-resources

  PyMC educational resources

  Language:Jupyter Notebook2k745

• kenjihiranabe/The-Art-of-Linear-Algebra

  Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

  Language:PostScript18.3k2.2k

• djbolder/credit-risk-modelling

  Credit-Risk Modelling Libraries

  Language:Python11271

• rasbt/mlxtend

  A library of extension and helper modules for Python's data analysis and machine learning libraries.

  Language:Python4.9k875

• has2k1/plotnine

  A Grammar of Graphics for Python

  Language:Python4.1k229

• mwouts/jupytext

  Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

  Language:Python6.7k392

• dpicone1/Credit-Risk-Anaytics-The-R-Companion

  The rep contains the R files from Credit Risk Analytics: the R Companion, from H Scheule, D Rosch an B Baesens. Unfortunately, when I bought the book, I could not find the R files accompanying the book. So I decided to create the R files from the snippets of codes in the book. Hope you find the files useful. I also think this is an excellent book for those with an experience in both credt risk models and programming in R. If instead you want to learn R or credit risk, this is not the best book for you.

  Language:R610

• titicaca/spark-gbtlr

  Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark

  Language:Scala8826

• kevin-crook-ucb/ucb_w205_crook_supplement

  UC Berkeley, W205 Data Engineering, 2018 Spring, Kevin Crook's supplement

  Language:Jupyter Notebook101244