Developing Data Science Projects With Limited Computer Resources Using Google Colaboratory (Coursera)

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.
In this Guided Project, you will:

• Create a fake and real news data science project
• Learn how to use Google Colaboratory to develop data science projects from your web browser

Learn step-by-step

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