Predicting the Weather with Artificial Neural Networks

提供方
Coursera Project Network
在此指导项目中,您将:

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

Clock1 hour
Intermediate中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

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.

您要培养的技能

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

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  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

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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