<ul><li>Neural networks can be used for time series analysis in Python using Tensorflow (Keras).</li><li>Different types of neural networks, such as feedforward, recurrent, and LSTM, can be used for time series forecasting.</li><li>Neural networks can handle nonlinear relationships and multivariate data, improving forecasting accuracy.</li><li>However, neural networks are prone to overfitting and are considered a 'black box' model.</li></ul>

Neural Networks for Time Series with Tensorflow Keras in Python

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