- 😄 Pronouns: She/Her/Hers
- 🔭 I’m currently working on: an NLP sentiment analysis project
- ❤️ My favorite language: SQL
- 🌱 I’m currently learning: nueral nets and Mandarin
- 👯 I’m always looking to collaborate with: scientist from any field
- 💬 Ask me about: anything, I am happy to help
- 🌍 I support: Latinas in Tech, AllStar Code, The Foundation to Decrease Worldsuck
- 💜 Interests: philosophy, travel, dachshunds, internet culture, video games, Star Trek
- ⚡ Fun fact: My ultimate dream is to be on Star Trek and dawn a yellow uniform. 🖖
Machine learning prediction model using logistic regression to predict a users observations using the various features used on their OKCupid dating profile. Data collected from OKCupid.com in the San Francisco Area.
Libraries Utilized: Scikit-Learn, Pandas, Statsmodel, Numpy, Matplotlib, Seaborn, Scipy
Linear regression modeling for housing price prediction in King County, WA, USA, which is the greater Seattle Area.
Libraries Utilized: Scikit-Learn, Pandas, Statsmodel, Numpy, Matplotlib, Seaborn
EDA of Yelp API data for Flatiron School Data Science Immersive Program.
Libraries utilized: Pandas, Numpy, Matplotlib, Seaborn
Credit: Jiji C.
Last edited on: 06/03/2021