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Weather prediction Algorithm based on Kalman filter

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Weather prediction Algorithm based on Kalman filter

- Kalman filters are often utilized in scenarios where we have uncertain information about a dynamical system. The best part of it is that it depends on its previous state, hence makes them very memory efficient.

- This particular attribute of the Kalman filters, makes them well suited for real time problems.

- This notebook will essentially focus on includes developing a weather prediction algorithm based on non-linear functions, using the classic Kalman filter.

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  • Jupyter Notebook 100.0%