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Вернуться к Bank Loan Approval Prediction With Artificial Neural Nets

Отзывы учащихся о курсе Bank Loan Approval Prediction With Artificial Neural Nets от партнера Coursera Project Network

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Оценки: 20
Рецензии: 4

О курсе

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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1–4 из 4 отзывов о курсе Bank Loan Approval Prediction With Artificial Neural Nets

автор: Ermias K

5 апр. 2022 г.

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

автор: Abdessamad Y

24 мар. 2022 г.

super helpful

автор: Muhammad M

26 дек. 2020 г.

informative

автор: Gregory G J

12 янв. 2021 г.

Thumbs Up!