This is a collection of Sebastian’s Projects in Data Science and Statistics.
Github: https://github.com/sprestia2009-svg
- Stock Market Pattern Recognition (In Progress) — Independent Project
- Abstract: Developing a Time-Series pattern recognition model to identify recurring structural patterns in financial time-series data (Custom Dataset)
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- Abstract: Developing a Time-Series pattern recognition model to identify recurring structural patterns in financial time-series data (Custom Dataset)
- Symbolic Regression (In Progress) — ASU Research Project
- Abstract: Developing Symbolic Regression models to discover new mathematical formulas..
- Mole Detection (In Progress) — Independent Project
- Abstract: Developing a PyTorch-based CNN architecture to classify benign moles from malignant ones using the ISIC dataset
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- Abstract: Developing a PyTorch-based CNN architecture to classify benign moles from malignant ones using the ISIC dataset
- Finding Best Taxi Routes in NYC — Capstone Project
- Abstract: (my part of team project) Identified the best neighborhoods for NYC taxis through clustering and KDE heatmaps based on a combination of demand, average cost, and trip length (Dataset from Kaggle)
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- Abstract: (my part of team project) Identified the best neighborhoods for NYC taxis through clustering and KDE heatmaps based on a combination of demand, average cost, and trip length (Dataset from Kaggle)
- Predicting Movie Box Office Revenue with Model — End of Class Project
- Abstract: Developed a Multiple Linear Regression (MLR) model to predict Movie Box Office using Ridge Regularization; tested model adequacy (Custom Dataset)
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- Abstract: Developed a Multiple Linear Regression (MLR) model to predict Movie Box Office using Ridge Regularization; tested model adequacy (Custom Dataset)
- Impact of the Syrian Civil War on HDI — End of Class Project
- Abstract: Analyzed changes in Syria’s Human Development Index from pre-civil war and civil war periods; analyzed possible predictors (Dataset from the World Bank)
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- Abstract: Analyzed changes in Syria’s Human Development Index from pre-civil war and civil war periods; analyzed possible predictors (Dataset from the World Bank)
- CIFAR-10 & CIFAR-100 Image Classification — Independent Project
- Abstract: Made PyTorch-based CNN architectures for classification on both the CIFAR-10 and CIFAR-100 datasets
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- Abstract: Made PyTorch-based CNN architectures for classification on both the CIFAR-10 and CIFAR-100 datasets
- MNIST Digit Classification — Independent Project
- Abstract: Made both a PyTorch-based ANN and a PyTorch-based CNN classifier for the MNIST digit dataset
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- Abstract: Made both a PyTorch-based ANN and a PyTorch-based CNN classifier for the MNIST digit dataset
- FashionMNIST Classification — Independent Project
- Abstract: Made both a PyTorch-based ANN and a PyTorch-based CNN classifier for the FashionMNIST clothes dataset
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- Abstract: Made both a PyTorch-based ANN and a PyTorch-based CNN classifier for the FashionMNIST clothes dataset
- Fish Classifier — Independent Project
- Abstract: Made a PyTorch-based CNN architecture to classify a fish as scary or not (Custom Dataset)
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- Abstract: Made a PyTorch-based CNN architecture to classify a fish as scary or not (Custom Dataset)
- ANN from Scratch — Independent Project
- Abstract: Used the Numpy python module to build an ANN completely from scratch for the MNIST dataset (Custom Dataset)
Note: ANN = Artificial Neural Network; CNN = Convolutional Neural Network (image processing)
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For more information, check out my LinkedIn.