The countries with the shortest people in the world. Reference: https://www.insider.com/shortest-people-in-world-by-country-2019-6
ML approach using Monte-Carlo method, K - fold cross-validation based on both Accuracy and Profit simulation. (Thanks Mr.Dzung for his references.)
One of the important ML tasks is the selection of the best model from among a list of models, and tuning the model for optimal performance. In this post, I will present the way of training all 182 Machine Learning Models for Classification. It would be better for data scientists to pick up one model with the best performance out of all possible models objectively, rather than subjectively choose the one that is frequently referred.
This is the second part of my presentation
This is the first part of my presentation at MLCL.
Global Refinement of Random Forest by changing parameters of the models. This article is inspired by Mr.Dzung.
K-means clustering with iris data
Will be continued...
This is one of my task when doing Forecasting course at RMIT
How I created, trained, tested and fitted model by using Sampling Methods.
This assignment was judged by my teacher James Baglin, a professor in Statistics at RMIT. I got 8 out of 10 in this assignment.
Victorian LGA Pertussis Cases - 2011