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Avis et commentaires pour d'étudiants pour Regression Analysis with Yellowbrick par Coursera Project Network

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À propos du cours

Welcome to this project-based course on Regression Analysis with Yellowbrick. In this project, we will build a machine learning model to predict the compressive strength of high performance concrete (HPC). Although, we will use linear regression, the emphasis of this project will be on using visualization techniques to steer our machine learning workflow. Visualization plays a crucial role throughout the analytical process. It is indispensable for any effective analysis, model selection, and evaluation. This project will make use of a diagnostic platform called Yellowbrick. It allows data scientists and machine learning practitioners to visualize the entire model selection process to steer towards better, more explainable models.Yellowbrick hosts several datasets from the UCI Machine Learning Repository. We’ll be working with the concrete dataset that is well suited for regression tasks. The dataset contains 1030 instances and 8 real valued attributes with a continuous target. We we will cover the following topics in our machine learning workflow: exploratory data analysis (EDA), feature and target analysis, regression modelling, cross-validation, model evaluation, and hyperparamter tuning. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, Yellowbrick, and scikit-learn pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

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par Raul G

25 juin 2020

par Lorenço

11 juil. 2020

par Saurabh K

12 mai 2020

par Manish W

2 mai 2020

par Chanreaksa C

14 sept. 2020

par Rajkumar R

23 oct. 2020

par Arnab S

8 sept. 2020

par Dr. P R

15 mai 2020

par Jack C

3 juin 2020


14 mai 2020

par Dr. J R P

7 mai 2020

par p s

24 juin 2020

par Vajinepalli s s

20 juin 2020


22 mai 2020

par tf

5 juil. 2021

par Ammar S

13 juil. 2020