ReDay 's Projects
This is a guide for building a 6502 computer from scratch. You'll learn step-by-step how to assemble the hardware, understand the workings of the 6502 microprocessor, and run simple programs on your own 6502-based computer.
This project utilizes an artificial neural network to perform a regression task, which means the model will predict a value based on the features. In this case, the model will have eight features to predict the purchasing amount for each customer. This project showcases a step-by-step implementation of the model.
An interactive online learning platform similar to Udemy and Coursera. Combining Next.js 14, React, TypeScript, and more, Athena offers a user-friendly environment for buying and selling courses. It features an integrated payment system, a dynamic course catalog, and real-time progress tracking, enhancing the e-learning experience.
AutoPilot is a control system for the Tello EDU Drone. Using a local web platform, it merges a Flask backend with a React frontend for effortless drone operations. It also introduces OpenCV-powered facial recognition for real-time face tracking, enhancing drone interactivity.
This is a machine learning project where I utilized the LeNet-5 architecture to create a convolutional deep network that classifies 43 different kind of traffic signs. I've made sure to include a full step-by-step implementation of the project as well as detailed notes for every step.
This repository was mistakenly deleted (thus the hole in my daily contributions for November), I have relocated the files that explain all the common data structures and necessary algorithms needed to solve common programming problems.
Game Hub is a comprehensive web application, built as part of a Code with Mosh course, which provides an engaging platform for users to explore and discover a variety of video games. Using the RAWG API, it offers detailed game information, including screenshots and gameplay videos.
This repository contains additional courses and lessons I took on Git. I want to be ready for every situation and want to have better understanding of git so thus this repository was born..
These are all my notes, lessons, and exercises for the Harvard - R Basics course. I have made sure to include my thought process and detailed notes as I complete the course.
This repository contains all my notes, lessons, and exercises for my Harvard Fundamentals of Tiny ML course. I made sure to include detailed notes and steps for my thought process.
A C# chess bot for Sebastian Lague's Chess Coding Challenge. Utilizes bitboard representations with Zobrist hashing for rapid state evaluations, a curated opening book for optimized early-game play, and iterative deepening with alpha-beta pruning for depth-adjusted search, and more.
My solutions and practice to common Leetcode problems!
These are my notes, lessons, models, and code for topics on machine learning. Topics include everything from data pre-processing to logistic regression intuition, and more!
My notes for the MIT - 6.00.2 class on Introduction to Computational Thinking and Data Science. I have taken detailed notes as well example code from the class lectures.
This project utilizes Facebook Prophet to analyze time series data and accurately predict commodity (avocado) prices for the market.
This repository contains notes from the MLExpert crash course. I needed a quick refresher so I have watched all the videos and will now just jot my notes, code, and lesson exercises in here.
This is a step-by-step guide to data preprocessing fundamentals and tricks for machine learning projects. I have created this repository to store detailed notes on data preprocessing, as well as a template to apply these techniques quickly when needed.
This project utilizes a convolutional network to identify 9 different kinds of skin cancers including melanoma, nevus, and more. The model is trained on over 2,200 pictures of various skin cancers based off of this dataset. This model implements fundamental computer vision and classification techniques and includes a step-by-step implementation.
This project covers the topic of natural language processing or NLP to classify user-generated text and determine their intent. The goal of this project is to build a model that can classify 10,000 Yelp reviews into either one-star or 5-star reviews. This project showcases a step-by-step implementation of the model as well as in-depth notes.
This is the code for my personal website as seen in my bio and resume. (ACTIVE)
PocketTrader is an automated trading bot for Alpaca's commission-free stock brokerage API. The bot enables seamless trade automation, asset checking, order management, technical analysis & position management, paper trading for strategy testing, and more!
PyForge is a custom Python compiler built using .NET and C#. It provides an interactive shell for real-time Python code execution and supports a variety of commands for enhanced user interaction. PyForge is designed to parse Python code, evaluate expressions, and provide detailed diagnostics to help debug and improve your Python scripts.