PRE-SALE

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
• Dictionary-based models
  • BOSS
  • WEASEL
  • TDE
  • MUSE
  • Capstone project: Japanese vowels' speakers classification
• Ensemble methods
  • Bagging
  • Weighted classifier
  • Time series forest

To be released

• 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.