Question: Class Activity: Data balancing with SMOTE For the following data points x = ( 1 , 1 ) , x n = ( 3 ,
Class Activity: Data balancing with SMOTE
For the following data points
and for add a new data point.
Class Activity: Dimensionality reduction
For the following training dataset:
What is the minimum dimensionality?
How do you get to that minimum dimensionality?
Is PCA able to get this minimum dimensionality? If Yes, how? Why
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