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catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

docs

📖 Documentation site for Wowchemy Website Builder

fit5145-data

Public repository containing data for FIT5145.

ids_course_data

Public repo with sample data files for coding related digital learning experiences by Monash University.

introductory-econometrics

Comprehensive tutorial notes for ETC2410 Introductory Econometrics

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

m6-methods

Data, Benchmarks, and methods submitted to the M6 forecasting competition

monashebstemplates

Rmarkdown templates for use at Monash University Department of Econometrics and Business Statistics

mtheme

A modern LaTeX Beamer theme

ngboost

Natural Gradient Boosting for Probabilistic Prediction

outlierconf2021

⭕ Slides and hands-on codes for my talk "ggplot Wizardry: My Favorite Tricks and Secrets for Beautiful Plots in R" at the 1st OutlierConf, February 4–7 2021.

pokemon_card_ev_analysis

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

race2030-predict-optimise

shap

A game theoretic approach to explain the output of any machine learning model.