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build a deep learning model for time series forecasting

jidiv

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Time series forecasting is the process of using a model to anticipate future values based on values that have already been observed. In this context, I will be pleased to help you in all your tasks using TIME SERIES data, including:

Data loading/entry: retrieve data from the provided file or from the web.
Data cleaning: I will clean the data, remove/fill in missing values and eliminate unnecessary functionality.
Data balancing: I will balance the data if necessary.
Data exploration: print statistics of the data and plot a visualization if necessary.
Data Preparation: prepare the data to fit the time series model.
Model creation: design and create the model architecture (RNN, LSTM, GRU) using known frameworks (Keras, TensorFlow).
Model fine-tuning parameters.
Model performance: plot the model performance (training curve).
Evaluation: evaluate the model using appropriate metrics.
Deploying the Model as a REST API (If needed).