Data Science Fellow
Projects I completed during the Data Science Immersive course at General Assembly:Analysis of the Ames, IA Housing Dataset-- In-depth data exploration and analysis-- Data visualization-- Feature engineering-- Linear regression, various regularization techniques-- Accompanying Kaggle competitionDad Joke Classifier-- Webscraping (Reddit)-- Data cleaning and exploration-- Natural Language Processing (CountVectorizer)-- Logistic regression, K-nearest neighbors, Random Forest classifier-- Streamlined modeling process with Pipelines and RandomSearch hyperparameter tuningHotel Classifier From Room Photos (Group effort)-- Massive dataset (~100,000 pictures, 25GB)-- Large-scale data analysis-- Convolutional Neural Networks and Logistic Regression-- K-means clustering-- Batch-based approach to modeling-- Accompanying Kaggle competitionIntro to Reinforcement Learning and Deep Q-Networks-- Introductory lesson on RL and Q-learning for non-technical/somewhat technical audience-- Described Deep Q-learning with the Cart Pole problem-- Solved Cart Pole using by-hand implementation of deep q-learning
