How to predict a time series using GRU in Keras

Hits: 9

 

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 GRU 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 GRU in Keras.

 

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

Learn_By_Example_399

Flow Control in Python | Jupyter Notebook | Python Data Science for beginners

How to check installed version of NumPy | Jupyter Notebook | Python Data Science for beginners

Time Series Analysis using Poly Models in R using BJ Sales Dataset | Data Science tutorials in R

How to apply sklearn Extra Tree Classifier to yeast dataset

How to predict a time series using GRU in Keras:



Latest end-to-end Learn by Coding Recipes in Project-Based Learning:

All Notebooks in One Bundle: Data Science Recipes and Examples in Python & R

End-to-End Python Machine Learning Recipes & Examples.

End-to-End R Machine Learning Recipes & Examples.

Applied Statistics with R for Beginners and Business Professionals

Data Science and Machine Learning Projects in Python: Tabular Data Analytics

Data Science and Machine Learning Projects in R: Tabular Data Analytics

Python Machine Learning & Data Science Recipes: Learn by Coding

R Machine Learning & Data Science Recipes: Learn by Coding

Comparing Different Machine Learning Algorithms in Python for Classification (FREE)

 

Introduction to Applied Machine Learning & Data Science for Beginners, Business Analysts, Students, Researchers and Freelancers with Python & R Codes @ Western Australian Center for Applied Machine Learning & Data Science (WACAMLDS) !!!

 

Subscribe SETScholars on YouTube.

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