В работе

LSTM Model for Trend Forecast

Time Series Forecasting Using an RNN

Hello Developer,

I have a dataset which has the water levels in a tank for 4 months (about 1000 data points per day).

The code needs to be properly commented.

The module needs to be trained properly and should include Back propagation.

The Module should include accuracy, loss and other performance metrics whatever feel like adding ..

There needs to be a separate graph for error, accuracy, compare the actual from the predicted output.

Don't make the model too accurate moderate accuracy is required..

Please stick to the below parameters.

Type of RNN: LSTM

Deep Learning Frame Work: Keras in Python

Квалификация: Обработка данных, Machine Learning (ML), Python, Архитектура ПО, Статистика

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( 0 отзыв(-а, -ов) ) Mumbai, India

ID проекта: #16633105

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