Understanding Waveforms
Visualizing, analyzing, and classifying waveforms.
Created on 16th March 2024
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Understanding Waveforms
Visualizing, analyzing, and classifying waveforms.
The problem Understanding Waveforms solves
We were provided a dataset from a Waveform generator, so we were asked to analyze the data and provide relevant insights. With 5000 instances, 21 attributes, and 3 classes, I gained visual insights and analyzed the data — classifying it into the three classes assigned.
• The dataset explored 5000 instances of 3 classes of waves, their noise levels, and the 21 associated attributes.
• We found that closely placed attributes correlated positively, while those placed away correlated negatively.
• The highest occurring value of an instance varied around 0.
• The waves were successfully classified into their respective classes (0, 1, 2) with 87.2% accuracy.
Challenges I ran into
The most difficult hurdle was understanding the dataset. Since it was attributed to CART techniques, it took me a long time to understand that these were relevant waves to act as a test for CART testing and classification techniques.
Tracks Applied (1)
DATA ANALYTICS
This project analyses and classifies the data, hence gaining all relevant insights that are required from the dataset.Technologies used