Predict electricity consumption in Python using Scikit-Learn

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In this Guided Project, you will:

Preprocess IOT Time series data

Create electricity consumption prediction model

Clock2 hours
BeginnerBeginner
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

By the end of this project, you will be able to deal with time-series data generated from smart IoT devices, Analyze the weather influence on electricity consumption, and apply a regression model using Scikit-learn to predict the electricity consumption of a building If provided with some information like temperature, humidity and so on. 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

Data Pre-ProcessingPython ProgrammingScikit-Learn

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.  You will be able to identify data science applications in engineering projects as well as Import libraries and helper functions

  2. import the building dataset based on geographical location and usage

  3. Asses the data for quality and tidiness issues.

  4. Clean the data

  5. Normalize the data

  6. Create Train and Test datasets

  7. Create the prediction model

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

Reviews

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Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.