返回到 Mining Quality Prediction Using Machine & Deep Learning
学生对 Coursera Project Network 提供的 Mining Quality Prediction Using Machine & Deep Learning 的评价和反馈
34 个评分
课程概述
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.
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1 - Mining Quality Prediction Using Machine & Deep Learning 的 4 个评论（共 4 个）
创建者 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.
创建者 Mukarram A
•Sep 1, 2021
Ryan did an excellent job explaining the concepts and going through the excercises. I would recommend this course definitely.
创建者 Hamora H
•Aug 9, 2020
Good
创建者 Ahmad I S
•Sep 30, 2020
You must try, it will give great basic of practice.
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