Name: Zach Riane Machacon
Type: User
Bio: 21 years old, Filipino, BS Computer Engineering student. Currently learning Python, Data Science, and Machine Learning.
Twitter: zachahalol
Location: Philippines
Blog: https://zachriane.com/
Zach Riane Machacon's Projects
This is a repo of my projects made from Dr. Angela Yu's Python course on Udemy.
An event e-certificate generator using Next.js, and Firebase.
A deep learning project using PyTorch and Convolutional Neural Networks (CNN) to classify if sneaker images are real or AI-generated.
An award-winning Arduino security system I developed way back 2019.
Config files for my GitHub profile
A boilerplate for the freeCodeCamp curriculum.
A compilation of data structures and algorithms in C.
A deep learning project using Tensorflow which classifies CIFAR-100's Herbivores and Omnivores into their fine classes.
A collection of CPU emulations using C with various levels of implementation.
A cryptocurrency portfolio tracker using Next.js, and Firebase which implements Lagrange extrapolation to predict future portfolio value.
A deep learning project using PyTorch which aims to classify fashion items from the Fashion MNIST dataset.
An exploratory data analysis project on the FIFA World Cup from 1930 - 2018.
A to-do list app using React with TypeScript, Vite, and Django.
A compilation of all my code for CPE1102L in my freshman year as Computer Engineering major.
Presentation materials for GDSC San Carlos' Breaking Back: Easy As .py event
A Python-based password manager using tkinter and pandas.
A website using Astro and React for a non-profit organization called Gihay Initiative.
An attendance tracker using Next.js and PHP.
A script designed to scrape grades from my school's site using Selenium.
A job scraper for Jobstreet, Indeed, and Mynimo using Python and Typer.
A needs analysis on the feasibility of a project by University of San Carlos - Computer Engineering Council called JUMP Camp.
A post analysis on the efficacy of a project by University of San Carlos - Computer Engineering Council called JUMP Camp.
An exploratory data analysis and regression project on the Top 250 K-Dramas.
An exploratory data analysis and machine learning project on K-pop songs using Spotify's API.
A library app using Java with 3 separate apps for Librarian, Teacher, and Student.
A Gender and Economic-centric Approach on Life Satisfaction using Exploratory Data Analysis.
Predicting Filipino Student employability through Mock Interview Results using Logistic Regression, KNN, and SVM.