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Adam VIllarreal's Projects

adam-aipnd-cnn icon adam-aipnd-cnn

A demonstration using PyTorch to create a Convolution Neural Network.

bsds100 icon bsds100

This is the course website for BSDS 100: "Introduction to Data Science with R" at the University of San Francisco. Assignments, lecture notes, and open source code will all be available on this website.

data-science-and-machine-learning icon data-science-and-machine-learning

Lessons and resources on data science and machine learning for students and mentors. All materials are conventionally accessible through Google Colab notebooks.

deep-learning-v2-pytorch icon deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

generated-faces-dpnd icon generated-faces-dpnd

Use GANs (Generative adversarial networks) to generate faces using Convolutional Neural Networks.

linear-regression-final-project icon linear-regression-final-project

This projected was completed by my partner Zachary Dougherty and myself. We used a dataset that was given to use by the University of San Francisco, and it detailed information about the graduated Class of 2018 starting with information from their freshmen year in 2014. Zachary created two Linear Regression models using Ridge and Lasso to create predictive and explanatory models for the GPA of the students. I myself created two Logistic Regression models that predict whether the student graduated or not. I created two models because I created an unbalanced dataset and a balanced dataset.

plagiarism-detector-mlend icon plagiarism-detector-mlend

Udacity's Machine Learning Engineer Nanodegree assignment using AWS to train a model to detect plagiarism from students answers.

pneumonia-classification icon pneumonia-classification

This is the concluding project for my Udacity Machine Learning Engineer Nanodegree. It will use Deep Learning to classify medical images.

spongebob-text-generation icon spongebob-text-generation

ML App implemented with HuggingFace and Streamlit using a finetuned GPT-2 model trained with SpongeBob scripts.

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