$99

Neural Networks for Time Series Modeling (2 sessions)

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Practical Programming (3rd Fl)

49W 33rd St.

New York, NY 10001

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Neural Networks for Time Series Modeling

We can use Recurrent Neural Networks(RNNs) to predict the future using a data from the past. This course, taught in Python using the Keras API, introduces participants on how to build and train RNNs that can handle sequences as inputs and that can perform basic time series analysis and prediction.

This workshop meets two times:

  • Dec 14 7.00pm-9.00pm

  • Dec 19 7.00pm-9.00pm

You will learn:

  • How Recurrent Neural Networks Work

  • Why Recurrent Neural Networks Are Suitable for Time Series Analysis

  • How to Build a Simple RNN Model for Time Series Prediction

  • How to Train a Simple RNN Model for Time Series Prediction

Prerequisites & Preparation:

  • Python skills at level of 100% completed Codecademy course

  • Basic Understanding of Time Series

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Date and Time

Location

Practical Programming (3rd Fl)

49W 33rd St.

New York, NY 10001

View Map

Refund Policy

Refunds up to 1 day before event

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