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學生對 Coursera Project Network 提供的 Mining Quality Prediction Using Machine & Deep Learning 的評價和反饋

36 個評分
4 條評論


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....



1 - Mining Quality Prediction Using Machine & Deep Learning 的 4 個評論(共 4 個)

創建者 Alnie D


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.

創建者 Mukarram A


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

創建者 Hamora H



創建者 Ahmad I S


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