Fake Instagram Profile Detector

Aperçu

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 issue in social media, often creating an illusion of numerous followers for influencers or being used to impersonate others and sell fake services or 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
• Grasp the theory and intuition behind Deep Neural Networks
• Import key Python libraries, dataset, and perform Exploratory Data Analysis
• Conduct data visualization using Seaborn
• Standardize 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 is optimized for learners in North America.

We are working to provide the same experience globally.

University:

Provider:

Coursera

Categories:

Machine Learning Courses, Deep Learning Courses, Keras Courses, Data Visualization Courses

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Enseigné par

Ryan Ahmed

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