This is an attempt to summarize feature engineering methods that I have learned over the course of my graduate school.

Toolkit for Doing Research with ECMAScript-based Statistics (DRESS Kit)

A MatLab package for System Identification using linear and nonlinear auto-regresive models (N)AR, (N)ARX and (N)ARMAX models

A wrapper containing search algorithm of Forward Selection + Pattern Classifier of KNN to use optimal features in prostate cancer

Project ini bertujuan untuk membandingkan algoritma SVM sebelum dan sesudah dilakukan forward selection sebagai seleksi fitur untuk memprediksi kualitas air. Dataset yang digunakan berasal dari kaggle, Pada dataset tersebut terdapat 10 atribut yang terdiri dari 9 atribut ciri dan 1 atribut label, 9 atribut bebas diantaranya ph, hardness, solids,…

Artificial Intelligence -> Machine Learning (ML) -> Supervised Learning -> Regression -> Forward Selection

data visualization/analysis of video game sales

workspace for feature/model selection on different projects

Classification with Feature Selection and Extraction Methods

Forward stagewise sparse regression estimation implemented for gretl.

Artificial Intelligence -> Machine Learning (ML) -> Supervised Learning -> Regression -> Forward Selection, Backward Elimination, Stepwise Regression

Year after year the percentage of carbon dioxide emissions in Jordan increase dramatically, and this lead to increase the temperature , to investigate this, the project aims to study the impact of CO2 emissions in on temperature and then use deep learning algorithm to predict the CO2 emission level through the next 10 years

Ejercicio de regresiones por distintos métodos (Mejor Selección de Conjuntos, Selección de pasos hacia adelante, Ridge, LASSO, Elastic Net, Componentes Principales, Mínimos Cuadrados Parciales, etc.)

a short assignment on classification of small dataset.

Code templates for different ML algorithms

A classification project.

Factors that affect manufacturing GDP SA perspective

An in-depth exploration of LASSO (L₁) and Ridge (L₂) regression, combining mathematical rigor with practical implementation in Python.

Statistical Modelling of Swine Flu Outbreak Data

A report of Landing.Jobs Data Challenge with a purpose: to show that if you are a woman, you are in disadvantage and the urge for a change!