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Yelp-Scraping Public
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.
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COVID-19-Visualization Public
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.
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Applied Machine Learning and Natural Language Processing to build a Random Forest Classifier that filters malicious bots with 97% of accuracy.
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Song-Recommendation-Systems Public
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 …
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bigforehead.github.io Public
Get to know me as a data scientist by clicking on this: "bigforehead.github.io"
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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 forecast…
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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…
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Classify Fake and Real News
Jupyter Notebook UpdatedJun 6, 2020 -
COVID-19 Public
Forked from CSSEGISandData/COVID-19Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
UpdatedApr 14, 2020
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