Human Activity Recognition Model for Classifying Various Activities performed in Daily Life
-
Updated
Jun 10, 2024 - Jupyter Notebook
#
tsfel
Here are 8 public repositories matching this topic...
This is a robust and efficient ML model for recognizing various human activities such as walking, sitting, and running using accelerometer data.
-
Updated
Jun 20, 2024 - Jupyter Notebook
Repository for Assignment 1 of team KAR.ai. - Human Activity Recognition (HAR) with Decision trees and LLMs
machine-learning jupyter sklearn pandas pca-analysis matplotlib data-collection decision-trees human-activity-recognition tsfel prompt-engineering groq-api
-
Updated
Aug 28, 2024 - Jupyter Notebook
Machine learning model that can identify different human activities like walking, sitting, and running using data from an accelerometer. (Mini-Project from the course Machine Learning Fall 2025)
-
Updated
Aug 27, 2025 - Jupyter Notebook
A human activity recognizer based on accelerometer data using a decision tree classifier and a feature extractor (TSFEL).
machine-learning scikit-learn feature-extraction decision-tree-classifier confusion-matrix-heatmap tsfel
-
Updated
May 16, 2024 - Jupyter Notebook
Mini-Project Given during the Assignment 1 of ML Course of IITGN ES-335
machine-learning pca-analysis human-activity-recognition uci-har-dataset har-model har-dataset tsfel
-
Updated
Jan 25, 2024 - Jupyter Notebook
Test nbdev package
-
Updated
Mar 5, 2022 - Jupyter Notebook
This repository contains the code for the Assignment-1 of the course ES 335: Machine Learning 2024 at IIT Gandhinagar taught by Prof. Nipun Batra.
python machine-learning jupyter sklearn pandas data-analysis data-collection decision-trees human-activity-recognition tsfel prompt-engineering langchain-python groq-api
-
Updated
Sep 12, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the tsfel topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the tsfel topic, visit your repo's landing page and select "manage topics."