輔仁大學統計資訊學系 111學年度 智慧決策資訊系統實作 期末作業

Project to detect nepali barnamala

AsanaAi is not just another fitness app; it's a comprehensive tool designed to cater to various aspects of holistic health, ranging from yoga practice to cardiovascular workouts, and even mental well-being. It's a one stop solution for both Physical and Mental Health

A simple KNN algorithm in Javascript that can be used to classify data

A project to scrape features about spotify tracks and a website for recommendations from 7mil+ tracks using a custom optimised k-nearest-neigbours algorithm

Practice machine learning with Plinko and JS.

This repository houses an interactive flex dashboard on outlier analysis. It accompanies a presentation on the same topic.

This is a quarto presentation on outlier analysis and detection. It relies on the methodology described in the "stray" package.

Uso de TensorFlow.js para llevar a cabo la predicción de imágenes mediante el uso del modelo MobileNet y la clasificación usando el algoritmo K-Nearest Neighbor y 🖐️PoseDetection. Permite la identificación de objetos en imágenes de fuentes como Picsum, e integra la habilidad de cambiar de manera dinámica streams en tiempo real desde la webcam

An application designed to classify hand-drawn images based on a set of predefined classifications. Users can draw an image using the drawing interface provided by the app, and the app's algorithm will classify the drawing into one of the specified categories.

My KNN assignment for HR-CMGT

With its cute and cheerful personality, Cheerio AI is your own personal cheerleader cheering you on every step of your fitness journey. Whether you’re sweating it out on the treadmill or pumping iron at the gym, Cheerio AI is there to keep you motivated and on track.

Project for HackSC (The University of Southern California Hackathon)

( Machine Learning App for Social Media Strategy Optimizations ) => { Machine Learning 🧠 + Instagram = Powerful Insights 🚀 }

🏭 JavaScript Machine Learning Toolkit

Pima Indian Diabetes via Kaggle. Fit classification models (logistic regression, knn, random forest, xgboost) to data.

This is server for on going project.....

Implementação dos algoritmos de classificação KNN, K-means e MLP