My portfolio website regarding data science projects. Some visualization and analysis projects reflect work for PITAPOLICY clients.

ML projects, which I worked on utilising different machine learning algorithms.

Dataset classification based on a dynamic classification nodes (XML/JSON), as Multi-grouping is not possible in RDBMS we can implement Logical grouping using classification node/attributes configuration.

Focused customer retention programs

Finding out whether it is possible to predict the quality of the wine using Random Forests, Neural Networks, Classification trees and other methods

A curated list of gradient boosting research papers with implementations.

A collection of research papers on decision, classification and regression trees with implementations.

PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.

Sistem Pendukung Keputusan untuk menentukan layak dan tidaknya seseorang mendapatkan bantuan PKH dengan menggunakan machine learning yaitu C4.5 dan K-Means

In this project, we will create a classification model to predict energy consumptions of buildings(EUI-High/Low) using Decision tree. We aim to use XGBoost to further improve accuracy of the model.

Material associated to the publication project on local trees methods for classification

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

Analyze the ATM dataset and predict the monthly withdrawal and rating of an ATM based on the features in the dataset 🏧

Identify Features Affecting Consumer Choice of Different Cuisines in the US

Thesaurus app for Word Mapping based on word classification using Laravel, VueJS and D3JS

UNCW BAN 502 This course explores methods for model selection, parameter estimation, and validation. Focused on techniques and algorithms from the statistical and machine learning disciplines.