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therealnaveenkamal/LSTM_Stocks

We'll be building a Forecasting Model to predict the trend of a particular stock using Recurrent Neural Networks - LSTM. We will use an Adam Optimizer, Dropout Regularizer, and MSE Loss Function. Phase I of the story discusses the Exploratory Data Analysis on a given Stock using various Plot Functions including but not limited to SNS Plots, Scatter Plots, and Box Plots.

语言:Jupyter Notebook · GitHub 星标:4 · Fork:0

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