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A series of exercises I've done for the Advanced Programming module for my course in Creative Computing. It also includes an Auto ML Time Series Weather Forecasting application I created using MeteoStat, NeuralProphet, and CustomTkinter.

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AP Exercises & Data-driven Application

Python coding exercises I did for the Advanced Programming module. The module also required students to create a data-driven application using an existing API of their choice. The data-driven application that I created is an Auto ML Time Series Weather Forecasting application using MeteoStat for historical weather data, NeuralProphet as the model, CustomTkinter for the frontend, and WeatherAPI to validate the model's predictions.

Auto ML Application Documentation & Video Demonstration: https://drive.google.com/drive/folders/1j8pZcWoHQ_Hl5jB93z5M-9RDdE5vsVMA?usp=drive_link

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A series of exercises I've done for the Advanced Programming module for my course in Creative Computing. It also includes an Auto ML Time Series Weather Forecasting application I created using MeteoStat, NeuralProphet, and CustomTkinter.

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