dmedd98 / covid_classification Goto Github PK

• Flatiron School Data Science Bootcamp Graduate 🎓
• Economics and Mathematics Background ➕ ➖
• Passionate problem solver 🧠
• Active Human ⚽ 🛹
• NYC Resident 🗽

NBA Game Predictions 🏀

• Machine Learning models trained with advanced statistics from over 4,000 games to predict winning team and margin of victory in NBA games
• 64% accuracy in predicting winner, 56% accuracy picking against spread

NLP Tweet Sentiment Analysis 🐦

• Utilized TfidfVectorizer and Support Vector Classifier to achieve 70% accuracy on tweet sentiment prediction model

Forest Cover Type Classification

• Neural Network created from Dataset containing information of over 500k trees (7 different cover types) derived and obtained by the US Geological Survey and USFS, obtained accuracy of 85%

Deep Learning Model for Chance of Graduate School Admittance

• Deep Learning model created with TensorFlow to predict chance of admittance for prospective graduate school students, achieved R-squared of .819

Deep Learning Classifier of Lung Illness

• Deep Learning Classifier built to decify healthy lungs from lungs infected with covid and pneumonia, achieved accuracy of 89%

Chicago Car Accident Prevention 🚙

• Decision Tree Classifier built to predict which car accidents were likely to cause injury based on time, location, crash type, weather, etc.

King County Home Price Prediction 🏡

• OLS regression predicting price of houses in King County, Washington.

SQL Practice

• Examples of queries inspired from CodeAcademy Course, Analyze Data with SQL