In this project we will apply Recurrent Neural Network (LSTM) which is best suited for time-series and sequential problem. This approach is the best if we have large data. The data that we will be using for this project is taken from http://archive.ics.uci.edu/ml/datasets/Individual+household+electric+power+consumption, we will be creating a LSTM model, train it on data and make predictions to check its performance.
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In this project we will apply Recurrent Neural Network (LSTM) which is best suited for time-series and sequential problem, we will be creating a LSTM model, train it on data and make predictions to check its performance.
prankur16shukla/Power_Consumption_Prediction
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In this project we will apply Recurrent Neural Network (LSTM) which is best suited for time-series and sequential problem, we will be creating a LSTM model, train it on data and make predictions to check its performance.
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