$17.00 CAD

Time Series Classification in Python


Master time series classification techniques, from the basics to the state-of-the-art machine learning and deep learning methods.

Released modules

  • Introduction to time series classification
    • Application of time series classification
    • Baseline classifiers
  • Distance-based method
    • Euclidean distance
    • K-Nearest Neighbors classifier
    • Dynamic Time Warping (DTW) from scratch
    • ShapeDTW

To be released

  • Dictionary-based methods
  • Ensemble methods
  • Feature-based methods
  • Interval-based method
  • Kernel-based methods
  • Shapelet-based methods
  • Hybrid models
  • Deep learning for time series classification

Note that this course is in pre-sale. By purchasing it, you get immediate access to the released modules and to all future modules that will release.