Jennie Le's repositories
Twitter-Malicious-Bot-Detection-Project
Applied Machine Learning and Natural Language Processing to build a Random Forest Classifier that filters malicious bots with 97% of accuracy.
Song-Recommendation-Systems
An application of collaborative filtering (PySpark, ALS, MLlib) and content-based filtering algorithms (NLP) to build a personalized song recommender based on listeners' behavior and a lyric-based song recommender for new users.
COVID-19-Visualization
Performed exploratory data analysis using plotly, seaborn, matplotlib, and pygal to visualize the rapid spread in the novel corona-virus across countries with John Hopskin University datasets.
bigforehead.github.io
Get to know me as a data scientist by clicking on this: "bigforehead.github.io"
Google-Quest-Q-A-Multi-Classification
An application of Natural Language Processing and Machine Learning to classify topics and sentence structure with Google QUEST Q&A Labeling datasets . The goal is to improve automated understanding of complex question answer content.
NCAA-March-Madness-Bracket-Prediction-2020
Engineered new features, performed exploratory visualization with Tableau, and applied Logistic Regression, Random Forest, Grid-Search and Cross Validation to build a predictive model that forecasts outcomes of the NCAA March Madness championship.
Capstone-Project-IBM-Data-Science-FAKE-NEWS-DETECTION
Classify Fake and Real News
Yelp-Scraping
Scraped ice-cream shops information on Yelp with Beautiful Soup, used Pandas to output the result in a table and visualized the ice-cream shops rating with Matplotlib.