Pinned Loading

1. CAPi CAPi Public

   CAPi (Climate Adjusted Pace individualized) is a predictive model trained on a users Strava data. It leverages optimal weather conditions from my own research to return a Climate Adjusted Pace (CAP…

   Jupyter Notebook 2

2. Marathon-Weather-Analysis-and-Performance-Prediction Marathon-Weather-Analysis-and-Performance-Prediction Public

   In this project, I utilize BigQuery, Selenium, Pandas, the Visual Crossing weather API, and Econometric techniques to determine the effects of weather on a runner's marathon performance.

   Python 3

3. save-the-frogs save-the-frogs Public

   The aim of the project is to classify risk levels of species based on economic and environmental factors. The dataset is constructed from multiple APIs such as EDGAR, the IUCN Red List and the Worl…

   Jupyter Notebook

4. Spotify-EDA-and-Clustering Spotify-EDA-and-Clustering Public

   This project focuses on Exploratory Data Analysis (EDA) in Jupyter Notebook. Here, we utilize ETL, fundamental pandas knowledge for data science, as well as some simple unsupervised machine learnin…

   Jupyter Notebook