This project focuses on predicting stock prices using a univariate linear regression algorithm, built entirely from scratch without the use of any machine learning libraries such as Scikit-learn or TensorFlow.

IMU2Text: A hybrid CNN+GNN pipeline for handwriting recognition and trajectory prediction using IMU data with state-of-the-art accuracy (99.74%).

李宏毅机器学习课程作业—2021

The Used Car Price Prediction project aims to develop a robust data science solution for accurately predicting used car prices. Leveraging a diverse dataset encompassing essential features like car model, number of owners, age, mileage, fuel type, kilometers driven, additional features, and location, this project aspires to build a powerful machine

Projekt transformacja, czyli Matrix - poznaj reguły gry

learning notes of the book Statistical learning methods, 统计学习方法[李航] [笔记, 代码, notebook, lihang]

The "Industrial Copper Modeling" project is designed to enhance your proficiency in data analysis and machine learning, focusing on the challenges posed by complex sales and pricing data in the copper industry. This hands-on project employs advanced machine learning techniques to provide solutions, offering regression models for precise pricing pre

Submission Dicoding Indonesia - Image Classification using TensorFlow (Kelas Belajar Machine Learning untuk Pemula). Proyek Klasifikasi Gambar Rock, Paper and Scissors.

Contributed to the improvement of risk management practices in the lending industry. Led to more responsible lending practices and reduced financial risks

A dataset containing 1300 Iranian IT job advertisements in English from August 2019 to January 2021 and collected by using a new crowdsourcing-based dataset gathering process.

Malware detection project by Machine Learning Algorithms. Top class BE second year project of EnTC students . It detects and tells the accuracy through Machine Learning Algorithms.

An overview of Tim's Internship at Artrya Ltd (Code can not be shared)

this can be done by open-cv

Custom Stable Diffusion Model for ADNI dataset. Generates new Brain MRI's either with or without Alzheimer's Disease depending on input. Could be used as supplimentry data for training an early Alzheimer's Disease detection model

KT AIVLE School 학습

A TensorFlow implementation of the Transformer model for machine translation tasks. This package includes data loading, model definition, and training scripts for translating Portuguese to English using the TED Talks dataset. The repository provides a complete pipeline from preprocessing the data to training and testing the model.

Classification Using Frequent Patterns - UEH

This project develops a machine learning model to interpret EEG signals for Brain-Computer Interface (BCI) applications. It includes code for data preprocessing, feature extraction, model training, and evaluation, with potential uses in neurotechnology, device control, and brain health monitoring.