Object detection and localization with Tensorflow 2 and Keras
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Updated
Jul 18, 2021 - Jupyter Notebook
Object detection and localization with Tensorflow 2 and Keras
A Kaggle notebook that visualizes air pollution for Seoul using Folium
Vacation recommendations based on weather and hotels nearby using Jupyter Notebook and API's
The notebook demonstrates the use of Folium maps and WordCloud visualization tool, as well as a sophisticated use of k-means algorithm.
Notebook contains basic python commands. It covers basic operations on different Python Data Structures, Comprehensions, Shallow copy/Deep Copy, Functions, Lambda Functions, Map-Reduce-Filter and some extra tips.
This notebook contains an introduction to the use of Python and cartopy to visualize data concerning earthquakes. We will first read a file with earthquake locations (latitudes, and longitudes), magnitudes in Richter scale, and depths, and other descriptors and then overlay it on a worldwide map.
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