Megalodon is an extensive library of all-that-is-to-sharks. It contains various shark datasets, a model zoo and pre-trained networks for various tasks.
In this repository we describe thoroughly a data wrangling process ussing a significatively noisy dataset.
Data Wrangling Quest! Our mission: to clean a messy data set known as “Shark Attacks” through using data wrangling techniques. By doing so we will prepare the data set for analysis for a use case of our choice.
🦈 COE 332 Final project. REST API to get information about shark attacks as of February 11, 2021
A simple example of Data Wrangling with Pandas, Regex & Matplotlib
Hybrid shark detection system leveraging pretrained yolo based multimodal detection of sharks as well as rule based environmental conditions in order to promote safety for marine life and civilians in coastal regions.
Analysis of shark attack data worldwide.
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