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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-Bewertungen
MA
31. Aug. 2021
Ryan did an excellent job explaining the concepts and going through the excercises. I would recommend this course definitely.
FD
26. Juli 2022
Excellent guided project. Falls in field of experience. Thank you.
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von Alnie D
•3. Okt. 2020
von Mukarram A
•1. Sep. 2021
von Francis D
•27. Juli 2022
von Muhammad U
•5. Okt. 2022
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•25. Sep. 2022
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•9. Aug. 2020
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•30. Sep. 2020
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