📝 A compilation of everything that I learn; Computer Science, Software Development, Engineering, Math, and Coding in General. Read the rendered results here ->

Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.

📖 [译] 数据科学和人工智能技术笔记

Dash Demo App - Stock Tickers

Introduction to Data-Centric AI, MIT IAP 2023 🤖

A set of learning modules in computing for engineering undergraduate students.

Cookbook to provide solutions to common tasks and problems in using Polars with R

The user manual for the drake R package

How do you stand out and get hired in today's market? A strong portfolio demonstrates your technical skills and problem-solving in ways a traditional resume can not, giving you a clear advantage in your job search. Here, Lowinertia provides engineers all the tools needed to get started!

A (growing) dark theme collection for JupyterLab.

Machine Learning Based - Intrusion Detection System

A large collection of challenges on Data Science and Machine Learning.

Aplikasi Pembayaran SPP - Codeigniter

Conference talks, meetup talks, and misc. writing

Um livro sobre programação para não-programadores.

Create multi-page HTML reports in R

GUI for Keras and TensorFlow with integrated hyperparameter optimization and NLP

USC's Introduction to Health Data Science

Data Visualization of Elite Swimmers Competition History

CDC Data Hub Lifecycle, Analysis & Visualization Accelerator (LAVA) REACT Components based on machine readable requirements.