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\nModel Evaluation for Underfitting and Overfitting\n

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\n\nPublisher:\n\nPackt\n\n\n
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\nThis video demonstrates model evaluation for underfitting and overfitting. This clip is from the chapter \"Recurrent Neural Networks in Time Series Forecasting\" of the series \"A Practical Approach to Timeseries Forecasting Using...\nThis video demonstrates model evaluation for underfitting and overfitting. This clip is from the chapter \"Recurrent Neural Networks in Time Series Forecasting\" of the series \"A Practical Approach to Timeseries Forecasting Using Python\".This section focuses on Recurrent Neural Networks (RNN) in time series forecasting.\n
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Resource Details

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Curator Rating
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Educator Rating
Not yet Rated
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Grade
Higher Ed
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Subjects
Math
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Media Type
Instructional Videos
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Source:
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Date
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2023
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Audiences
For Teacher Use
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Concepts

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variance, bias, plot
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Additional Tags

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time series, time series forecasting, time series forecasting using python, python, univariate, multivariate, rnn, auto regression, arima, auto arima, sarima, sarimax, machine learning, lstm, stacked lstm, bilstm, stacked bilstm, pandas, numpy, matplotlib, data set, fitting problem, validation loss, multiple epochs, validation, loss, paste, stability, stacked, fitting, model, lstms, increasing, write, write 800, epochs, 2500 epochs, check, increase, result, difference, case, decreased, understand, epoch, decreasing, change
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Educator Ratings

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\n\nShow resource details\n
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\n\" data-title=\"Get Full Access\" data-container=\"body\" rel=\"popover\" tabindex=\"0\" aria-label=\"Play video: Model Evaluation for Underfitting and Overfitting\" href=\"/subscription/new\">\"Model\n\n
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