Machine Learning tutorials oriented at begginers in data science. Methods are applied on ZeMA-s testbed data (Zentrum für Mechatronik und Automatisierungstechnik gGmbH).
Subtitle: Basic visualisation for imported dataset
1st line: isto real-time - into real time
If you have problems with previous step, you can skip conversion into SI units by runing next cell.- double n is missing in "running"
1_FFT_and_Reconstruction.ipynb
If you have problems with previous step, you can skip conversion into SI units by runing next cell.- double n is missing in "running"
2_Machine_Learning_using_Best_Fourier_Coefficients.ipynb:
Subtitle: Converting into SI Units
If you have problems with previous step, you can skip conversion into SI units by runing next cell.- double n is missing in "running"
Subtitle: Feature extraction using BFC:
"This step an unsupervised extraction method" - "is" is missing
"A function is created, which takes as input:
data from one senzor sensor," - s insted of z
Subtitle: Pearson correlation
"_Example: If element in 'senzor_n' is 5, and the element in 'featuren' at the same position is 50, that means that you can access that feature in this way:" - s instead of z
Subtitle: Apply patterns for feature extraction and selection on testing data
"Further selection is based on the indices found with Pearason correlation method. " - Pearson instead of Pearason
Subtitle: Mahalanobis distance -
"The Mahalanobis distance is a measure of the distance between two points and unknown character" -What is with the unknown character, check this
3_Machine_Learning_using_Statistical_Moments.ipynbIf you have problems with previous step, you can skip conversion into SI units by runing next cell.- double n is missing in "running"
Subtitle: Pearson correlation
"_Example: If element in 'senzor_n' is 5, and the element in 'featuren' at the same position is 50, that means that you can access that feature in this way:" - s instead of z
0_Data_Import_and_Visualisation.ipynb:
Subtitle: Basic visualisation for imported dataset 1st line: isto real-time - into real time
If you have problems with previous step, you can skip conversion into SI units by runing next cell.- double n is missing in "running"
1_FFT_and_Reconstruction.ipynb
If you have problems with previous step, you can skip conversion into SI units by runing next cell.- double n is missing in "running"
2_Machine_Learning_using_Best_Fourier_Coefficients.ipynb: Subtitle: Converting into SI Units If you have problems with previous step, you can skip conversion into SI units by runing next cell.- double n is missing in "running"
Subtitle: Feature extraction using BFC: "This step an unsupervised extraction method" - "is" is missing
"A function is created, which takes as input: data from one senzor sensor," - s insted of z
Subtitle: Pearson correlation "_Example: If element in 'senzor_n' is 5, and the element in 'featuren' at the same position is 50, that means that you can access that feature in this way:" - s instead of z
Subtitle: Apply patterns for feature extraction and selection on testing data "Further selection is based on the indices found with Pearason correlation method. " - Pearson instead of Pearason
Subtitle: Mahalanobis distance - "The Mahalanobis distance is a measure of the distance between two points and unknown character" -What is with the unknown character, check this
3_Machine_Learning_using_Statistical_Moments.ipynb If you have problems with previous step, you can skip conversion into SI units by runing next cell.- double n is missing in "running" Subtitle: Pearson correlation "_Example: If element in 'senzor_n' is 5, and the element in 'featuren' at the same position is 50, that means that you can access that feature in this way:" - s instead of z