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Fake Instagram Profile Detector

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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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Dive into the world of Artificial Intelligence with the "Fake Instagram Profile Detector" course, designed to equip you with the skills to identify spam and fake accounts on social media. This engaging project focuses on constructing and training a straightforward artificial neural network model to tackle the prevalent issue of fake Instagram profiles. Led by Coursera, this foundational course offers a comprehensive introduction to the applications of AI and machine learning, specifically tailored for the social media landscape. Throughout the 120-minute duration, you will delve into the principles of Deep Neural Networks, perform data visualization with Seaborn, and standardize data for training and testing models using Python. Key features of the course include: - Practical insights into AI and machine learning techniques. - Step-by-step guidance on building a deep learning model with Keras and Tensorflow 2.0. - Tools to assess and ensure model performance through various KPIs. Ideal for learners in North America, this course is perfect for those starting their journey in AI and looking to apply these skills in personal development or social media management. Enroll in the Starter subscription and elevate your understanding of deep learning and artificial intelligence today.