Predicting the Weather with Artificial Neural Networks

Offered By
Coursera Project Network
In this Guided Project, you will:

Create a machine learning model using industry standard tools and use it to make salary predictions.

Clock1 hour
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

In this one hour long project-based course, you will tackle a real-world prediction problem using machine learning. The dataset we are going to use comes from the Australian government. They recorded daily weather observations from a number of Australian weather stations. We will use this data to train an artificial neural network to predict whether it will rain tomorrow. By the end of this project, you will have created a machine learning model using industry standard tools, including Python and sklearn. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Skills you will develop

  • Artificial Neural Network
  • cyclical attributes
  • Pandas
  • Hyperparameter Optimization
  • sklearn

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Load a dataset from file

  2. Process a dataset to make it compatible with a neural network

  3. Split a dataset into training and testing sets

  4. Train a neural network and make predictions

  5. Optimize a neural network

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

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