How to predict a time series using Multi Layer Perceptron in Keras

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In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to predict a time series using Multi Layer Perceptron in Keras.

What should I learn from this recipe?

You will learn:

  • How to code a keras and tensorflow model in Python.
  • How to create training and testing dataset using scikit-learn.
  • How to train a tensorflow and keras model.
  • How to predict a time series using Multi Layer Perceptron in Keras.

 

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How to predict a time series using Multi Layer Perceptron in Keras:



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Support SETScholars for Free End-to-End Applied Machine Learning and Data Science Projects & Recipes by becoming a member of WA Center For Applied Machine Learning and Data Science (WACAMLDS). Membership fee only $1.75 per month (on annual plan) and you will get access to 450+ end-to-end Python & R Projects.


Western Australian Center for Applied Machine Learning & Data Science – Membership