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Coursera Project Network

Performing regression tasks using decision tree & PCA basics

Coursera Project Network via Coursera

Overview

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

Syllabus

  • Project Overview
    • 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, Regularizing a decision tree regressor , Setting up the environment for dimensional reduction, Coding for the Projection methods in Dimensionality reduction & Coding for PCA using SVD decomposition and SCIKIT learn

Taught by

Ashish Dikshit

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