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

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.

MA
Ryan did an excellent job explaining the concepts and going through the excercises. I would recommend this course definitely.
FD
Excellent guided project. Falls in field of experience. Thank you.
AS
You must try, it will give great basic of practice.
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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.
Ryan did an excellent job explaining the concepts and going through the excercises. I would recommend this course definitely.
Excellent guided project. Falls in field of experience. Thank you.
Very Informative and practical
Sangat membantu
WORTH MY TIME
Excelente!
شكرا
Good
You must try, it will give great basic of practice.