jim-spyropoulos / Trajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-Learn

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently trajectories.

jim-spyropoulos
jim-spyropoulos
Date Created 2018-07-02 (6 years ago)
Commits 8 (last one 4 years ago)
Stargazers 65 (0 this week)
Watchers 0 (0 this week)
Forks 17
License apache-2.0
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RepositoryStats indexes 631,351 repositories, of these jim-spyropoulos/Trajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-Learn is ranked #410,773 (35th percentile) for total stargazers, and #625,645 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #79,555/128,766.

jim-spyropoulos/Trajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-Learn is also tagged with popular topics, for these it's ranked: python (#16,887/23380),  machine-learning (#6,119/8391),  classification (#404/572),  scikit-learn (#295/364)

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jim-spyropoulos/Trajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-Learn has 2 open pull requests on Github, 0 pull requests have been merged over the lifetime of the repository.

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updated: 2025-03-15 @ 01:46pm, id: 139448459 / R_kgDOCE_Qiw