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In this project, I employed machine learning techniques to analyze and classify sonar data, enabling the system to differentiate between mines and rocks based on the unique patterns and characteristics found in the acoustic signals. This predictive model offers a valuable tool for underwater object identification and is applicable in various fields
hasnainhawlader/Rock-vs-mine-prediction
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In this project, I employed machine learning techniques to analyze and classify sonar data, enabling the system to differentiate between mines and rocks based on the unique patterns and characteristics found in the acoustic signals. This predictive model offers a valuable tool for underwater object identification and is applicable in various fields
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