quangvanbui

introductory-econometrics

Comprehensive tutorial notes for ETC2410 Introductory Econometrics

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.

prophet

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

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.

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

pokemon_card_ev_analysis

mtheme

A modern LaTeX Beamer theme

ngboost

Natural Gradient Boosting for Probabilistic Prediction

RACE2030-predict-optimise

shap

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