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Module 3: Unsupervised Learning Models

Module 1: Regression Modelling

Learning Outcomes

Regression Recap

Refining a Regression Model with R

Refining a Regression Model with Python

Lesson Summary

Module 2: Classification Modelling

Learning Outcomes

Understanding Classification

Preparing Data for Classification Using R

Preparing Data for Classification Using Python

Creating a Support Vector Machine Model and Decision Forest Model

Evaluating Classification Model

Lesson Summary

Module 3: Unsupervised Learning Models

Learning Outcomes

Unsupervised Models and Building K-Means Clustering

Exploring and Creating Clustering Models with R

Exploring and Creating Clustering Models with Python

Lesson Summary

Module 4: Data Science - Regression, Classification and Clustering Models Assessment

Data Science - Regression, Classification and Clustering Models Assessment

Notes

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Exploring and Creating Clustering Models with R

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