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學生對 Coursera Project Network 提供的 Bank Loan Approval Prediction With Artificial Neural Nets 的評價和反饋

18 個評分
4 條評論


In this hands-on project, we will build and train a simple deep neural network model to predict the approval of personal loan for a person based on features like age, experience, income, locations, family, education, exiting mortgage, credit card etc. 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....



1 - Bank Loan Approval Prediction With Artificial Neural Nets 的 4 個評論(共 4 個)

創建者 Ermias K


I strongly recommended tech based bank professional to take this project guide, I can boldly said that you will make huge profit.

創建者 Abdessamad Y


super helpful

創建者 Muhammad M



創建者 Gregory G J


Thumbs Up!