Time Series Analysis: Accelerometer Sensors of Object Inclination and Vibration

Agenda: Time Series Analysis by using different (State of Art Models) Machine and Deep Learning.

Recurent Neural Network with CuDNNLSTM Model
Convolutional Autoencoder
Residual Network (ResNet) and MobileNet Model

Workflow that is used in this Project

Data Processing/Transformation
Data Normalization
Image Transformation: Markov Transition Field
State of Art Models (Machine and Deep Learning)
Visulization of Train and Test Models: Accuracy and Loss
Classification Report, Accuracy, and Loss

APIs that are used in this Project

tensorflow
sklearn
keras
matplotlib
numpy
pandas
pyts (Python Time Series Classification)

Time Series Dataset: Accelerometer Sensors

Image Transformation: Markov Transition Field

Visulization of Train and Test Models: Accuracy and Loss

Classification Report