Skip to content
View karenyxwang's full-sized avatar

Block or report karenyxwang

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. Fake_News_Detection Fake_News_Detection Public

    This project builds and optimizes a machine learning model that predicts the truth value for political statements to gain a better understanding of and detect fake news on social media.

    Jupyter Notebook

  2. Covid_Tweets_Impact Covid_Tweets_Impact Public

    This project uses the Coronavirus (COVID-19) Tweets dataset from Kaggle to build and optimize a machine learning model that predicts the influence, i.e. the number of retweets, of Tweets.

    Jupyter Notebook

  3. Big_Data_Analytics Big_Data_Analytics Public

    This repository covers essential tools for big data analytics with python, including but not limited to pandas, pandasql, spark, AWS EMR cluster, sklearn, spark ML, and MxNet for deep learning.

    Jupyter Notebook 2 2

  4. Machine_Learning Machine_Learning Public

    This repository covers essential tools for machine learning with python, including but not limited to supervised and unsupervised models, natural language processing (NLP), and fairness auditing.

    Jupyter Notebook

  5. Web_Scraping Web_Scraping Public

    This project uses HTTP requests to receive JSON objects and clean HTML data from the open web. In particular, I will scrape content from Wikipedia and extract information from messy content.

    Python

  6. Child_Aid_Programs_Impact Child_Aid_Programs_Impact Public

    An evaluation study examining the impact of child aid programs participation during pregnancy on child achievement using multiple regression analyses with a national probability sample.

    R