Skip to content

kgzach/Data-Mining-and-Machine-Learning

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 Cannot retrieve latest commit at this time.

History

38 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Data Mining and Machine Learning @ CEID

Technologies

NumPy, Matplotlib, Pandas, scikit-learn, Pytorch, pgmpy, SciPy, Seaborn

Dataset

Human Activity Recognition Trondheim (HARTH) The HARTH dataset, contains data collected from two accelerometers worn by 22 participants in a study. The data collection lasted approximately 2 hours in a free-movement environment.
Performed an initial assessment of the data, followed by classification based on activity using

  • Neural Network implemented in PyTorch,
  • Random Forest from scikit-learn,
  • Bayesian Networks in pgmpy & Bayesian Classifier from scikit-learn.
    Correlation

    Afterward, K-Means clustering was applied to group the data according to the detected activities. Dendogram