April 29, 2024, 10:13 a.m. | Victor Alando

DEV Community dev.to

In this tutorial, we are going to learn about how to build LSTM models for time series predictions. LSTM stands for Long-Short-Term Memory


These are models built on recurrent neural network (RNN) that are particularly effective for sequence prediction problems, such as time series forecasting.


These import statements lay the groundwork for conducting time series analysis and building a LSTM neural network model for stock price prediction. Each imported library serves a specific purpose in the data fetching, preprocessing, modeling, …

build forecasting import keras learn lstm lstm model memory network neural network prediction predictions python recurrent neural network rnn series tensorflow time series time series forecasting tutorial

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