cassnutt
Data scientist with a background in healthcare | Running enthusiast | animal-lover |
Austin, TX
Pinned Repositories
applying-gradient-descent-lab-data-science-intro-000
applying-nearest-neighbors-data-science-intro-000
BobsBurgersNLP
Detecting_pneumonia
Using over 5,800 images of chest radiographs, I utilized machine learning and neural networks to predict when pneumonia is present. The best model was able to predict over 80% accuracy on the test data with a false negative rate that was less than 3%.
DND_currency_converter
Housing_price_predictions
This project used linear regression to predict the prices of homes for sale in King County Washington. The dataset contains over 21,500 listings and 21 features. A model was created with statsmodels that would explain 80% of the variance in price.
Movie_Predictions_Project
Merging multiple different datasets was key to exploring data and finding intriguing insights to present to imaginary movie executives.
Predicting_heart_disease
A dataset containing over 70,000 data points, 12 features, and one target variable were used to analyze if machine learning could predict if an individual has cardiovascular disease.
Seaborn_Palettes
worldwide_covid19_vaccines
This project aims to predict when the world will reach 70% herd immunity with COVID-19 vaccinations. It also analyzes sentiment of COVID-19 vaccine Tweets and uses market segmentation to find inequities in countries that are vaccinating.
cassnutt's Repositories
cassnutt/DND_currency_converter
cassnutt/Predicting_heart_disease
A dataset containing over 70,000 data points, 12 features, and one target variable were used to analyze if machine learning could predict if an individual has cardiovascular disease.
cassnutt/Detecting_pneumonia
Using over 5,800 images of chest radiographs, I utilized machine learning and neural networks to predict when pneumonia is present. The best model was able to predict over 80% accuracy on the test data with a false negative rate that was less than 3%.
cassnutt/Housing_price_predictions
This project used linear regression to predict the prices of homes for sale in King County Washington. The dataset contains over 21,500 listings and 21 features. A model was created with statsmodels that would explain 80% of the variance in price.
cassnutt/Movie_Predictions_Project
Merging multiple different datasets was key to exploring data and finding intriguing insights to present to imaginary movie executives.
cassnutt/Seaborn_Palettes
cassnutt/worldwide_covid19_vaccines
This project aims to predict when the world will reach 70% herd immunity with COVID-19 vaccinations. It also analyzes sentiment of COVID-19 vaccine Tweets and uses market segmentation to find inequities in countries that are vaccinating.
cassnutt/BobsBurgersNLP
cassnutt/cassnutt
profile about-me
cassnutt/data_aug_blog
cassnutt/dsc-analyzing-macbeth-project-v2-1
cassnutt/evaluating-regression-lines-data-science-intro-000
cassnutt/evaluating-regression-lines-lab-data-science-intro-000
cassnutt/expressing-functions-data-science-intro-000
cassnutt/git_practice
cassnutt/gradient-descent-data-science-intro-000
cassnutt/gradient-descent-step-sizes-data-science-intro-000
cassnutt/gradient-descent-step-sizes-lab-data-science-intro-000
cassnutt/introduction-to-derivatives-data-science-intro-000
cassnutt/null_value_blog
cassnutt/NYC_airBnB
cassnutt/NYC_crash_data
cassnutt/ped_accidents
cassnutt/Propensity_Scores
cassnutt/sigma-notation-data-science-intro-000
cassnutt/single-variable-regression-data-science-intro-000
cassnutt/single-variable-regression-lab-data-science-intro-000
cassnutt/SQL_pitchfork_reviews
cassnutt/why-math-data-science-intro-000
cassnutt/wine_quality_linear_reg