Predict two decision tree regression model and Drawing Decision tree for regression
Regularize a decision tree regressor & setting up the environment for dimensional reduction
Code for Projection methods in Dimensionality reduction and for PCA using SVD decomposition
In this 1-hour long project-based course, you will learn how to perform regression tasks using decision tree & some PCA fundamental coding. you will get expertise in acing following tasks- Predicting two decision tree regression model Drawing Decision tree for regression Regularize a decision tree regressor Setting up the environment for dimensional reduction Coding for Projection methods in Dimensionality reduction Coding for PCA using SVD decomposition and SCIKIT learn
Decision Tree
Machine Learning
Dimensionality Reduction
regression
PCA
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Predicting two decision tree regression model
Drawing a decision tree for regression
Regularize a decision tree regressor
setting up the environment for dimensionality reduction
Projection methods -PCA using SVD decomposition
PCA using SCKIT learn
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
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Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.
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