Welcome to my Project Portfolio/ Code Library. This space is dedicated to share work samples.
| Project Name | Brief Description | Tags |
|---|---|---|
| Ted Talks | Analyzes TED TALK data, predict well performing talks and recommend based on previous one liked. This project contains several data science techniques, including: scrapping a website, data wrangling, data classification techniques (PCA and clustering) and Machine Learning techniques. | python, data cleaning, web scrapping, ML, PCA, clustering, recommendation engine, prediction models |
| Wikipedia | Wikipedia is one of the most solid references for data nowadays. It is persistently updated and has become a reference in many books. I find myself constantly learning and searching it's data, so I thought it would be interesting to learn and document different methods to obtain information from it.This project studies downloading the entire wikipedia data and how to quickly obtain a single article information. | python, scrapping, regex |
| udemy-python-sql-tableau | Analize data from absenteeism provided during Udemy course. Work included data cleaning, dummy variables & linear regression model. Resulting data was connected to SQL Server and Tableau | python, ML, linear regression, SQL, tableau |
| scrape_quote | I wanted to find a small project of something fun to practice python web scrapping skills and I thought of the many times a good quote would be useful to have at hand. I thought of starting of by building a base pool of famous quotes, which I could search, enrich and filter. | python, web scrapping |
| regex and parsing clickstream | One common source of user information nowadays is web traffic | python, regex, clickstream data |
| School Shootings in US | Trying to understand this huge problem while practicing fivethirtyeight visualization techniques | python, visualization |
| Kittengram A/B testing | Designing and performing A/B Test for 'Kittengram', provided by Udemy course | python, abtests |