An Engineering Data Science Repository
This repository contains the lecture codes and personally created explanation from TF4063-Engineering Data Science course I've taken in Bandung Institute of Technology (Institut Teknologi Bandung) as well as my own experiment.
Currently the contents are about feature selection, dimensionality reduction, classification, clustering, regression and classical machine learning implementation.
This repository may be used for educational purposes, notes (in case our meatbag brain forgot), summaries, and any other positive things.
This repository will be updated by my newest explanation regarding basics of machine learning (including: classical machine learning, reinforcement learning, deep learning and neural networks, and ensemble methods).