GitHub / 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.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jim-spyropoulos%2FTrajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-Learn

Topics: classification, classifiers, dtw, knn, logistic-regression, machine-learning, python, random-forest, scikit-learn, scikitlearn-machine-learning, similarity-measures, trajectory, trajectory-analysis

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