{"repo":"claudian37/DS_Portfolio","free":true,"listed":false,"github":"https://github.com/claudian37/DS_Portfolio","clone":"git clone https://github.com/claudian37/DS_Portfolio.git","description":null,"language":"Jupyter Notebook","stars":24,"topics":["data-science","data-visualization","geospatial-visualization","predictive-modeling"],"license":null,"category":"analytics","readme_excerpt":"Welcome to my portfolio! I'm a Data Scientist/ ML Engineer specializing in credit and fraud risk. In my spare time, I like to explore new tools, visualizations and modeling techniques, and I showcase some of them here. Visit my website: www.ds-claudia.com for more. Contents: - Time series network graph visualization: An interactive plot showing how cluster grows over time using Kaggle data on healthcare provider fraud. - Huffman Code Algorithm: Implementation of a text compression algorithm in Python. - Geospatial visualization: Animated .gif showing heatmaps of Cab pickup and dropoff locations in NYC from the Kaggle NYC Cab Ride dataset - Gif file: NYC cab dataset img nyc cab rides heatmap.gif - Notebook: NYC cab dataset 01 EDA NYC Cab geospatial visualization.ipynb - Predictive modeling: LightGBM model to predict trip duration in NYC from the Kaggle NYC Cab Ride dataset. - Notebook: NYC cab dataset 02 Modeling NYC Cab.ipynb","default_branch":null,"files":null,"tree":[],"storefront":"/r/claudian37","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/claudian37/DS_Portfolio/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}