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Learner Reviews & Feedback for Fake Instagram Profile Detector by Coursera Project Network
29 ratings
About the Course
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.
By the end of this project, you will be able to:
- Understand the applications of Artificial Intelligence and Machine Learning techniques in the banking industry
- Understand the theory and intuition behind Deep Neural Networks
- Import key Python libraries, dataset, and perform Exploratory Data Analysis.
- Perform data visualization using Seaborn.
- Standardize the data and split them into train and test datasets.
- Build a deep learning model using Keras with Tensorflow 2.0 as a back-end.
- Assess the performance of the model and ensure its generalization using various Key Performance Indicators (KPIs).
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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1 - 6 of 6 Reviews for Fake Instagram Profile Detector
By Nawab S U
•Dec 28, 2022
Good beginner friendly project
By Gregory G J
•Jan 7, 2021
Thumbs Up
By KURNAVALLI V B
•Jul 19, 2021
nice
By Nishith R R
•Mar 27, 2021
Good
By K V 2
•Jul 24, 2021
good
By Siddharth K
•Jan 7, 2021
If you are thinking to attend this project please don't its complete waste of money.
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