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Bank Loan Approval Prediction With Artificial Neural Nets に戻る

Coursera Project Network による Bank Loan Approval Prediction With Artificial Neural Nets の受講者のレビューおよびフィードバック

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コースについて

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....
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Bank Loan Approval Prediction With Artificial Neural Nets: 1 - 2 / 2 レビュー

by Muhammad M

2020年12月26日

informative

by Gregory G J

2021年1月12日

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