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Course: Unsupervised Learning. Skills and Tools: Classification, Support Vector Machines, Principal Component Analysis. Classified vehicles into different types based on silhouettes which may be viewed from many angles. Used PCA in order to reduce dimensionality and SVM for classification.

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Classifying-silhouettes-of-vehicles

  • Course: Unsupervised Learning.
  • Skills and Tools: Python, EDA, Classification, Support Vector Machines, Principal Component Analysis.

Classified vehicles into different types based on silhouettes which may be viewed from many angles. Used PCA in order to reduce dimensionality and SVM for classification.

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Course: Unsupervised Learning. Skills and Tools: Classification, Support Vector Machines, Principal Component Analysis. Classified vehicles into different types based on silhouettes which may be viewed from many angles. Used PCA in order to reduce dimensionality and SVM for classification.

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