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1d_cnn_human_activity_recognition

aaic_practice

This repository I have created for storing all the code components, assignments notebooks and supporting variables.

accelerometer_data_analysis

accelerometer_data_analysis

accelerometeranalysisparkinsonscannabidiol

accelerometerproject

This repo contains my MATLAB R2015a code for my BME 7022 project involving using accelerometer data to calculate the number of steps taken.

activity-detection

A predictive machine learning model that uses android wear sensor data and an android wear application that displays the results in real time.

activity-recognition

This project focuses on detecting user activities (Walking/Running) using smart phone's accelerometer

activity-recognition-1

🚀 手机加速度传感器数据进行人体行为识别

activity-recognition-2

activity-recognition-3

Activity Recognition for J&J study and PD study

activity-recognition-4

Predicting the Human Activity from the sensor readings of smartwatch

activity-recognition-5

Activity Recognition from Chest-Mounted Accelerometer

activity-recognition-6

Human activity recognition based on motion data

activity-recognizer

Classify common human activities from accelerometer data.

activity_recognition

activity_recognition-1

activityrecognition

Activity Recognition on Sensor Data

activityrecognition-1

activityrecognition_project

Masters Project

amazon-fine-food-reviews

Amazon Fine Food Reviews

amazon-fine-food-reviews-1

Amazom Fine Food Reviews

amazon-fine-food-reviews-data-analysis

Amazon fine food Review Analysis

asl_geaturerecognition_featureextraction

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.

autofeat

Linear Regression Model with Automated Feature Engineering and Selection Capabilities

automatedfeatureselection

Automated Feature Selection in Python for most common machine learning problems

autoviz

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

awesome-deep-learning-resources

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

aws-powershell-transcribe2srt

Demonstrating the use of AWS Transcribe service with PowerShell to create a subtitle file from an audio source

aws-transcription-helper

Work with AWS to transcribe recorded speech more accurately

banking-fraud-detection

Machine Learning Interpretability and Feature Selection Methods