Predicting the Weather with Artificial Neural Networks

提供方
Coursera Project Network
在此指導 項目中,您將:

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

Clock1 hour
Intermediate中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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.

您要培養的技能

Artificial Neural Networkcyclical attributesPandasHyperparameter Optimizationsklearn

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  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

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

常見問題

常見問題

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