Developing Data Science Projects With Limited Computer Resources Using Google Colaboratory

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Coursera Community Project Network
In this Guided Project, you will:

​Learn how to design and develop data science projects from data collection to deployment.

Learn how to use Google Colaboratory to develop data science projects from your web browser.

Create a fake and real news detection data science project.

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

This project is for anyone with foundation in programming and machine learning who wants to develop Data science and Machine learning projects but having limited resources on their computer and limited time. You will learn how to use the Google Colaboratory via your web browser to develop a Fake and Real News Detection Data Science Project. You will start by learning how to launch Google Colaboratory from your web browser then create runtime environment for your project, create a python notebook to house the project, understand the project design, learn how to import your training data into Google Colaboratory, develop the project, train and evaluate your model performance and finally, learn how to extract the model as deliverable for use in your application of choice, be it web application or native application. This Guided Project was created by a Coursera community member.

Skills you will develop

Data science.Fake and real news detection using machine learningMachine LearningData science project design and developmentGoogle colab

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. Setting up Google Colaboratory for Data Science Project

  2. Project design approach, getting the data, importing and using the data in Google Colaboratory

  3. Overview of the basic tools in the menu bar of the Google Colaboratory jupyter notebook

  4. Data Cleaning and Data Visualisation

  5. Data Labeling and Feature Extraction

  6. Model Creation and Training

  7. Model Evaluation

  8. Saving and Downloading/Exporting your model

  9. Model Deployment

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

Instructor

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.