Hi,
This repository contains my work for the fourth project of the GE-461: Introduction to Data Science course.
In this project, we are implementing classification on sensor data in order to classify if there has been a fall action or a non-fall action. Initially, we use unsupervised learning methods in order to visualize the dataset. Then we use two classification algorithms, Support Vector Machine (SVM) and Multi-Layer Perceptron (MLP), in order to classify the data. My report can be accessed here: https://xmassmx.github.io/GE-461-Fall-Detection/
Note: Please do not copy this work and stay away from plagiarism. The work in this repository is my solution and is meant to be used as a guide only.