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Recommended experience
Intermediate level
Need Python programming (functions, loops), Pandas dataframes. Machine learning background (training procedure, random forests) would be nice to have
Recommended experience
Intermediate level
Need Python programming (functions, loops), Pandas dataframes. Machine learning background (training procedure, random forests) would be nice to have
Transform a dataset into TensorFlow-compatible format for optimized training and testing within TensorFlow environments.
Train a TensorFlow Decision Forest Model.
Evaluate a TensorFlow Decision Forest Model using standard metrics and data splits.
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Only available on desktop
In this project, learners will gain the skill of building and evaluating machine learning models using TensorFlow Decision Forests to accurately classify penguin species based on physical measurements. They will construct a comprehensive machine learning model under the guidance of the instructor. Learners will master specific skills including data preprocessing and cleaning, feature selection and importance analysis, and model evaluation using performance metrics. These skills will enable learners to handle real-world data challenges effectively. The benefit of taking this project is that it provides practical, hands-on experience in applying machine learning techniques to a real-world dataset, enhancing learners' ability to develop accurate and reliable models for ecological and conservation purposes. This project is suitable for TensorFlow beginners with a decent Python background, including knowledge of classes, functions, and some experience with pandas or numpy. While conceptual knowledge related to decision trees and random forests would be helpful, it is not required.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Install TensorFlow Decision Forests
Load and Transform the Penguins Dataset
Split Data into Test and Training Datasets and Prepare Data for TensorFlow
Train and Evaluate Random Forest Model
Evaluate TensorFlow Random Forest Model Against Test Data
Need Python programming (functions, loops), Pandas dataframes. Machine learning background (training procedure, random forests) would be nice to have
The Coursera Project Network is a select group of instructors who have demonstrated expertise in specific tools or skills through their industry experience or academic backgrounds in the topics of their projects. If you're interested in becoming a project instructor and creating Guided Projects to help millions of learners around the world, please apply today at teach.coursera.org.
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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DeepLearning.AI
Specialization
LearnQuest
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By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.
You can download and keep any of your created files from the Guided Project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.
Guided Projects are not eligible for refunds. See our full refund policy.
Financial aid is not available for Guided Projects.
Auditing is not available for Guided Projects.
At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.
Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.