The Project is done in 3 parts. The Complexity & performance of the model increases from starting to the end.
1. In w_one folder, Applied Linear Regression with OLS for temperature prediction (Dataset is already present inside folder).
2. In w_two folder, Applied Linear Regression with Regularization(Elastic Net) for rainfall prediction (Dataset is already present inside folder).
3. In w_three folder, Applied RNN(LSTM) for pressure, windspeed, & temperature prediction (Dataset is already present inside folder).
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Weather forecasting using machine learning and deep learning model.
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