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34 Bewertungen
Über den Kurs
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 - 4 von 4 Bewertungen für Mining Quality Prediction Using Machine & Deep Learning
von Alnie D
•3. Okt. 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.
von Mukarram A
•1. Sep. 2021
Ryan did an excellent job explaining the concepts and going through the excercises. I would recommend this course definitely.
von Hamora H
•9. Aug. 2020
Good
von Ahmad I S
•30. Sep. 2020
You must try, it will give great basic of practice.
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