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Learner Reviews & Feedback for Mining Quality Prediction Using Machine & Deep Learning by Coursera Project Network

4.8
stars
38 ratings

About the Course

In this 1.5-hour long project-based course, you will be able to: - Understand the theory and intuition behind Simple and Multiple Linear Regression. - Import Key python libraries, datasets and perform data visualization - Perform exploratory data analysis and standardize the training and testing data. - Train and Evaluate different regression models using Sci-kit Learn library. - Build and train an Artificial Neural Network to perform regression. - Understand the difference between various regression models KPIs such as MSE, RMSE, MAE, R2, and adjusted R2. - Assess the performance of regression models and visualize the performance of the best model using various KPIs....

Top reviews

MA

Aug 31, 2021

Ryan did an excellent job explaining the concepts and going through the excercises. I would recommend this course definitely.

FD

Jul 26, 2022

Excellent guided project. Falls in field of experience. Thank you.

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1 - 5 of 5 Reviews for Mining Quality Prediction Using Machine & Deep Learning

By Alnie D

Oct 3, 2020

I really liked the Guided Project as it allows me to do the coding as it was shown. I just got a problem finishing the coding because the Rhyme cloud stopped running my codes for an unknown reason. Also, one of the difficulties that I have observed is that the instructor's video lags even if my internet connection was okay. But overall, I enjoyed the session and I find it very practical and informative. Looking forward to joining the next Guided Project. Thank you Dr. Ahmed, Coursera and DOST Caraga.

By Mukarram A

Sep 1, 2021

R​yan did an excellent job explaining the concepts and going through the excercises. I would recommend this course definitely.

By Francis D

Jul 27, 2022

Excellent guided project. Falls in field of experience. Thank you.

By Hamora H

Aug 9, 2020

Good

By Ahmad I S

Sep 30, 2020

You must try, it will give great basic of practice.