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Name: Ghayth AlMahadin
Type: User
Company: NTU
Name: Ghayth AlMahadin
Type: User
Company: NTU
This repository I have created for storing all the code components, assignments notebooks and supporting variables.
accelerometer_data_analysis
This repo contains my MATLAB R2015a code for my BME 7022 project involving using accelerometer data to calculate the number of steps taken.
A predictive machine learning model that uses android wear sensor data and an android wear application that displays the results in real time.
This project focuses on detecting user activities (Walking/Running) using smart phone's accelerometer
🚀 手机加速度传感器数据进行人体行为识别
Activity Recognition for J&J study and PD study
Predicting the Human Activity from the sensor readings of smartwatch
Activity Recognition from Chest-Mounted Accelerometer
Human activity recognition based on motion data
Classify common human activities from accelerometer data.
Activity Recognition on Sensor Data
Masters Project
Amazon Fine Food Reviews
Amazom Fine Food Reviews
Amazon fine food Review Analysis
This project contains the code for various feature extraction methods used to extract feature from 4 kinds of Sensors(Accelerometer, Gyroscope, Orientation and EMG). Feature Extraction methods used were Discrete Fourier Transform, Discrete Wavelet Transform, Discrete Cosine Transform, Power Spectral Density and Piece Wise Aggregation. It also contains the code to visualize the extracted features as Grouped Box Plots for a "Gesture" Vs "Not of Gesture" which gives an interesting way to find out important features. PCA is also implemented and similarly visualized to find and understand the meaning of each Principal Component.
Linear Regression Model with Automated Feature Engineering and Selection Capabilities
Automated Feature Selection in Python for most common machine learning problems
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
Demonstrating the use of AWS Transcribe service with PowerShell to create a subtitle file from an audio source
Work with AWS to transcribe recorded speech more accurately
Machine Learning Interpretability and Feature Selection Methods
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.