{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Time Series Processing Example\n", "The goal of the present tutorial is to show how usage of the Neuraxle framework can make a difference in term of clean pipeline design through an example of time series processing.\n", "\n", "\n", "### The Dataset\n", "\n", "It'll be downloaded automatically for you in the code below. \n", "\n", "We're using a Human Activity Recognition (HAR) dataset captured using smartphones. The [dataset](https://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones) can be found on the UCI Machine Learning Repository. \n", "\n", "### The task\n", "\n", "Classify the type of movement amongst six categories from the phones' sensor data:\n", "\n", "- WALKING,\n", "- WALKING_UPSTAIRS,\n", "- WALKING_DOWNSTAIRS,\n", "- SITTING,\n", "- STANDING,\n", "- LAYING.\n", "\n", "### Video dataset overview\n", "\n", "Follow this link to see a video of the 6 activities recorded in the experiment with one of the participants:\n", "\n", "
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