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\nML Classification: Sonar Detects Metal Pipe\n

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\n\nPublisher:\n\nAPMonitor\n\n\n
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\nSonar (sound navigation and ranging) uses sound waves to detect objects, similar to how a bat uses echo-location to navigate, and detect objects. It is the same principle with seismic data for non-invasive underground exploration of...\nSonar (sound navigation and ranging) uses sound waves to detect objects, similar to how a bat uses echo-location to navigate, and detect objects. It is the same principle with seismic data for non-invasive underground exploration of geologic formations to locate oil or gas reserves.

Background: A data set of sonar returns is available for rock and metal pipe with samples taken from different angles and locations. The data was collected in a laboratory under controlled conditions as a case study for detecting underground pipe. There are 111 labeled sets for the metal cylinder (pipe) and 97 sonar patterns from rocks with similar conditions. Each sample is a set of 60 numbers between 0 and 1 that represents the integrated energy within a distinct frequency band and for a given time period.

Although this case study is specific to detecting differences between metal pipe and rock, it is similar to detection of other underground features such as tunnels, mines, aquifers, and fluid-filled pipelines. This case study focuses on classification using the 60 attributes (sonar returns) to determine whether object is rock or a metal pipe. The label associated with each record contains the letter R if the object is a rock and M if it is a metal pipe. One-hot encoding is needed to translate this character label into a binary representation (0 or 1) for classification.

0:00 Sonar Introduction
2:02 Example Report
3:00 Data Source
3:45 Import Packages
4:14 Import Data
5:11 Data Visualization
12:42 Eliminate Outliers
14:40 Scale Data
18:32 Debugging
20:44 Rank Features
26:23 Split Data
27:24 8 Classifiers
29:00 Confusion Matrices
32:53 Report Writeup
33:43 Machine Learning Course\n
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Resource Details

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Educator Rating
Not yet Rated
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Media Length
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35:22
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Grade
10th - Higher Ed
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Subjects
Social Studies & History
5 more...
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Media Type
Instructional Videos
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Source:
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\nAPMonitor.com\n\n
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Date
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2022
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Language
English
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Audiences
For Teacher Use
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Usage Permissions
Fine Print: Educational Use
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Concepts

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box plot, sound waves, correlation, plot, data, radar, classification, sonar
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Additional Tags

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apmonitor, machine learning, detection, underground, tunnel, pipeline, rock, standard scaler, sk learn, bar chart, fit equals, neural network, higher significance, false positive, hot encoding, fit transform, density plot, data frame, fairly good, equals select, confusion matrix, model list, data columns, metal pipe, list, transform, pipe, good, similar, select, information
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Classroom Considerations

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Best For: Explaining a topic
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