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1. Accent-Classification-And-Conversion Accent-Classification-And-Conversion Public

   Tackle accent classification and conversion using audio data, leveraging MFCCs and spectrograms. Models differentiate accents and convert audio between accents

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2. Real-vs-Fake-Image-Classification Real-vs-Fake-Image-Classification Public

   Employ deep learning and transfer learning techniques to classify images as "fake" or "real," ensuring authenticity preservation.

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3. Detecting-Insurance-Fraud Detecting-Insurance-Fraud Public

   Develop a classifier to differentiate between real and AI-generated images of damaged cars, identifying actual accidents from fraudulent ones.

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4. Flood-Detection Flood-Detection Public

   Utilize a MobileNetV2 encoder and Pix2Pix decoder to perform precise semantic segmentation, distinguishing objects in images, such as identifying flooded areas in flood images. The purpose is to e…

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5. Visualization-Project Visualization-Project Public

   The project provides a comprehensive visualization and analysis of the World Happiness Report data from 2015 to 2019. Through various visualizations, it explores the key factors influencing global…

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6. Applied-Machine-Learning-MDS202214 Applied-Machine-Learning-MDS202214 Public

   Repository containing Assignments of Applied ML course (CMI Jan-May 2024)

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