https://github.com/adoroszlai/practicalmachinelearningassignment

https://github.com/adoroszlai/practicalmachinelearningassignment

Last synced: 18 days ago
JSON representation

• Host: GitHub
• URL: https://github.com/adoroszlai/practicalmachinelearningassignment
• Owner: adoroszlai
• License: mit
• Created: 2014-12-13T18:22:57.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2014-12-17T21:07:24.000Z (over 10 years ago)
• Last Synced: 2025-02-12T10:56:04.553Z (2 months ago)
• Language: R
• Size: 281 KB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

Awesome Lists containing this project

README

        
Practical Machine Learning - Course Project

===========================================

Analysis for the [Practical Machine Learning](https://www.coursera.org/course/predmachlearn) course project.

Contents:

 * `functions.R`: Defines common variables and functions.

 * `data_cleaning.Rmd` ([compiled](https://adoroszlai.github.io/PracticalMachineLearningAssignment/data_cleaning.html)): Describes data cleaning steps and actually performs them.

 * `modelling.R`: Partitions the data into training and testing subsets, and fits random forest models.

 * `analysis.Rmd` ([compiled](https://adoroszlai.github.io/PracticalMachineLearningAssignment/analysis.html)): Describes the modelling process and evaluates the selected model.  Includes brief overview of the dataset and the data cleaning process.

 * `validate.R`: Applies the final model to the test dataset, saves output for submission.