In this project-based course, we will build, train and test a machine learning model to detect diabetes with XG-boost and Artificial Neural Networks. The objective of this project is to predict whether a patient has diabetes or not based on their given features and diagnostic measurements such as number of pregnancies, insulin levels, Body mass index, age and blood pressure.
Diabetes Disease Detection with XG-Boost and Neural Networks
Learn, practice, and apply job-ready skills with expert guidance
4.9
(10 reviews)
Beginner level
Recommended experience
2 hours
Learn at your own pace
Hands-on learning
What you'll learn
Build, Train and Test XG-Boost and Artificial Neural Networks Model
Train an ANN and XG-Boost algorithms to solve classification type problems
Perform Data Visualization and Exploratory Data Analysis
Skills you'll practice
- Classification And Regression Tree (CART)
- Artificial Neural Networks
- Predictive Modeling
- Data Analysis
- Machine Learning Algorithms
- Machine Learning Methods
- Machine Learning
- Python Programming
- Data Presentation
- Data Visualization
- Feature Engineering
- Predictive Analytics
- Applied Machine Learning
- Deep Learning
- Statistical Analysis
- Exploratory Data Analysis
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
No downloads or installation required
Only available on desktop
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- Gain hands-on experience solving real-world job tasks
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About this Guided Project
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:
Understand the Problem Statement and Business Case
Import Libraries and Datasets
Practice Opportunity #1 [Optional]
Perform Data Visualization
Split the data into training and testing
Practice Opportunity #2 [Optional]
Build a Neural Network Model in Keras
Compile and train an ANN Model
Evaluate trained model performance
Practice Opportunity #3 [Optional]
Train and evaluate an XG-Boost Algorithm
Practice Opportunity #4 [Optional]
Recommended experience
Python programing experience and basic math background
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Instructor
Offered by
How you'll learn
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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Frequently asked questions
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.