In this hands-on project, we will build and train a simple artificial neural network model to detect spam/fake Instagram accounts. Fake and spam accounts are a major problem in social media. Many social media influencers use fake Instagram accounts to create an illusion of having so many social media followers. Fake accounts can be used to impersonate or catfish other people and be used to sell fake services/products.
Fake Instagram Profile Detector
Fake Instagram Profile Detector
Instructor: Ryan Ahmed
Guided Project
Learn, practice, and apply job-ready skills with expert guidance
Beginner level
No prior experience required
1.5 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.5
(33 reviews)
What you'll learn
Understand the theory and intuition behind Deep Neural Networks.
Build and train a deep learning model using Keras with Tensorflow 2.0 as a backend.
Assess the performance of trained model and ensure its generalization using various Key performance indicators.
Skills you'll practice
Details to know
Earn a career certificate
Add to your LinkedIn profile
Taught in English
Guided Project
Learn, practice, and apply job-ready skills with expert guidance
Beginner level
No prior experience required
1.5 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.5
(33 reviews)
See how employees at top companies are mastering in-demand skills
Learn, practice, and apply job-ready skills in less than 2 hours
- Receive training from industry experts
- Gain hands-on experience solving real-world job tasks
- Build confidence using the latest tools and technologies
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:
Task 1: Understand the problem statement and business case
Task 2: Import Datasets and Libraries
Task 3: Exploratory Data Analysis
Task 4: Perform Data Visualization
Task 5: Prepare the data to feed the model
Task 6: Understand the theory and intuition behind Artificial Neural Networks
Task 7: Build a simple Multi Layer Neural Network
Task 8: Compile and train a Deep Learning Model
Task 9: Assess the performance of the trained model
7 project images
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.