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Predict the gold price from a dataset with time series

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Reference no: EM133295225

Programming uses Python.

Use any dataset with more than 2 attributions,

Use python to create code for RNN (Recurrent Neural Networks) and LSTM (Long-short term memory) to predict the result with time series.

Example: predict the gold price from a dataset with time series.

Do manual without using the help of other libraries to build RNN and LSTM layer. You can you numpy, pandas, and sklearn.model_selection.train_test_split to work with data only. You also build RNN, neuron network, and LSTM by yourself.

Reference no: EM133295225

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