- San Francisco
- https://griffinbran.github.io/
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Predictive analysis, with feature engineering, and machine learning (ML) algorithms, such as linear regression, applied to predict the final sale price of homes in Ames, IA from 2006-2010.
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App for Research Data Analytics
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Hackathon_March2021 Public
Forked from cloudmcloudyo/Hackathon_March2021RMDS 2021 Data Science Competition - Impact of News Sentiment on the Stock Market
Jupyter Notebook UpdatedMar 22, 2021 -
Scratchpad Public
RMDS 2021: Data Science Competition Notebook
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Simulation of autonomous driving by deep learning with GPU accelerated computing on Google Cloud. Augmentation and custom loss-functions allow self-driving vehicles to maintain lanes, for single tr…
deep-learning pickle autonomous-vehicles convolutional-neural-network opencv-python augmentation keras-tensorflowJupyter Notebook UpdatedFeb 11, 2021 -
Natural Language Processing (NLP) applied to over 200,000 subreddit submissions to correctly identify subset containing suicidality with applications for advancing clinical suicide prevention resea…
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Temp-Repo-1 Public
Trash repo, in construction, reorganizing and creating templates for getting started on new projects.
Jupyter Notebook UpdatedFeb 10, 2021 -
Statistical analysis in Python of California’s Class of 2019 SAT/ACT Performance by School District, with data visualizations in Matplotlib and Seaborn.
exploratory-data-analysis pandas data-visualization correlation-analysis matplotlib-pyplot seaborn-plotsJupyter Notebook UpdatedFeb 1, 2021 -
Deep learning for binary classification in Google Colaboratory with >97.5% accuracy on over 108,000 RGB images, including 3,000+ with dogs.
Jupyter Notebook UpdatedDec 11, 2020