- 😄 Pronouns: He
- 🔭 Junior data analyst looking
- ❤️ My favorite language: SQL
- 🌱 I’m currently learning: Software engineering on #ALX
- 👯 I’m always looking to collaborate with: scientists 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: Internet culture, web developing
- ⚡ 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
This project is an Extract, Transform, Load (ETL) system for the DVD rental database. It extracts data from the DVD rental database, performs necessary transformations, and loads the transformed data into a target destination..
Libraries utilized: Pandas
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Last Edited on: 09/09/2021