Analytics and ML notebooks
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Updated
Mar 7, 2021 - Jupyter Notebook
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Analytics and ML notebooks
Analysis using Jupyter Notebook, CityPy, Pandas Dataframe, Matplotlibs, Jupyter GMaps, and Google APIs.
Analysis using Jupyter Notebook, CityPy, Pandas Dataframe, Matplotlibs, Jupyter GMaps, and Google APIs.
Analysis using Jupyter Notebook, CityPy, Pandas Dataframe, Matplotlibs, Jupyter GMaps, and Google APIs.
WeatherPy notebook to visualize the weather of 500+ cities across the world of varying distance from the equator. VacationPy notebook plans vacation based on results using jupyter-gmaps and the Google Places API.
Using Jupyter Notebook, Pandas Library, CityPy, Python, APIs and JSON Traversals, to get more than 500 random latitudes and longitudes and analyze weather data
An analysis used Jupyter-notebook, API(Yahoo & OpenWeatherMap) and Gmaps to visualise weather data across the earth, creating a heatmap that weights humidity and marks on certain locations.
I used Python, Jupyter Notebook and the city PI module to get the cities for more than 700 random latitudes and longitudes then I requested on the open weather map API and retrieve the JSON weather data from these cities. I then added the weather data to the Panda’s dataframe. From there I used Matplotlib to create a series of scatter plots to s…
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