Midterm Project

Step $1$: Implement matrix profile generation algorithm.

Step $2$: Use your implementation given in step $1$ to compute features where your raw data will be the following dataset:

archive.ics.uci.edu$/$dataset$/256/$daily$+$and$+$sports$+$activities

Each instance will correspond to an activity such that you will apply feature extraction on each instance to obtain the feature vector, which will be the matrix profile vector.

Step $3$: Classify matrix profile vectors using SVM and KNN$.$ Compare the results.