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學生對 Coursera Project Network 提供的 Fake Instagram Profile Detector 的評價和反饋

4.4
25 個評分
5 條評論

課程概述

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 - Fake Instagram Profile Detector 的 5 個評論(共 5 個)

創建者 Gregory G J

2021年1月7日

Thumbs Up

創建者 KURNAVALLI V B

2021年7月19日

nice

創建者 Nishith R R

2021年3月27日

Good

創建者 K V 2

2021年7月24日

good

創建者 Siddharth K

2021年1月7日

If you are thinking to attend this project please don't its complete waste of money.