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Stanford University Graduate Certificate (A.I Specialization) |
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University of California, Berkeley (Master of Information and Data Science)
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Computer Vision |
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A Kaggle Competition project where my model achieved 1.51 RMSE(public) and 1.31(private), ranked 1st place on public leaderboard and 2nd place on proviate leaderboard. |
An implementation of U-Net for image segmentation based on dermoscopic lesion images from ISIC 2018 competition. |
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Plant disease detection using unsupervised learning framework (SimCLRv2) with some modifications. Training dataset is 80,000 images and final validation accuracy is 99.6% |
Footprint Identification A End-to-End Machine Learning solutions that identify footprint of wild animals. This is a multi-class classification problem which works on Android device. GAN is used for image generation.
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Reinforcement Learning |
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Gaming |
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Robotics |
A 3D printed Rubik’s cube solving machine coded in Python |
More Machine Learning Projects |
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Image Compression (K-Means) |
Neural Network in plain Numpy |
ICA for Cocktail Party Problem |
An implementation of KMeans for image compression |
An deep neural network implemented in plain numpy without deep learning framework |
Independent Component Analysis used for cocktail problem. |
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Time Series |
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Carbon Dioxide Ceoncentration Analysis Analyzing monthly carbon dioxide concentration in ppm (parts per million) at the Mauna Loa Observatory from 1959 to 1997. |
U.S Traffic Fatalities Analysis |
An analysis for question “Do changes in traffic laws affect traffic fatalies” using driving dataset which covers 25 years of changes in various state drunk driving, seat belt and speed limit laws. |
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