Suppose you are doing dimensionality reduction, and you chose to use FactorAnalysis module from the scikit learn library as a tool. What will be the suitable transformation statement if you want to reduce the dimension of the DataFrame df to two factors? Note: Assume totol n columns and you take only n-1 columns for reduction and exclude the last column. O a. fa = FactorAnalysis(n_components = n).fit_transform(df.iloc[; :-1].values) O b. fa = FactorAnalysis(n_components = n-2).fit_transform(df.iloc[; :-1].values) O . fa = FactorAnalysis(n_components = 2).fit_transform(df.iloc[;, :-1].values) O d. fa = FactorAnalysis(n_components = 2).fit_transform(df.iloc[-1, :-1].values)

Suppose you are doing dimensionality reduction, and you chose to use FactorAnalysis module from the scikit learn library as a tool. What will be the suitable transformation statement if you want to reduce the dimension of the DataFrame df to two factors? Note: Assume totol n columns and you take only n-1 columns for reduction and exclude the last column. O a. fa = FactorAnalysis(n_components = n).fit_transform(df.iloc[; :-1].values) O b. fa = FactorAnalysis(n_components = n-2).fit_transform(df.iloc[; :-1].values) O . fa = FactorAnalysis(n_components = 2).fit_transform(df.iloc[;, :-1].values) O d. fa = FactorAnalysis(n_components = 2).fit_transform(df.iloc[-1, :-1].values)

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Describe the benefits of using the merge sort in Java. What are the key steps that must be taken to ensure an efficient sorting of objects? Also, specifically think of and give a real-life scenario where Merge sort may be used Merge sort may be a better fit than Quick and Radix sorts
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