Classification-of-Exercise-Movements Dcroix · COMPLETED
This project on practical machine learning works on a data set about the exercise movements of mobile users. In this project we will explore the data set, train machine learning models (using Classification Trees, Gradient Boost, and Random Forest), assess its respective accuracy in classifying these exercise movements using the validation set, and predict classifications made by the better performing model using the test set.
github.com/Dcroix/Classification-of-Exercise-Movements · ★ 0 · Forks 0 · Size 335 KB
SUMMARY
Technologies 2
Scored 2
Observed 2
Practices 6
Evidence 2
Skips 0
COVERAGE
Analyzed 3 files · 5 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Redis CACHE Depth 61
1 files · CONFIGURATION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2022-04-27
Last commit 2024-06-25
Active months 2
Commits 5