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PCA () 1 2 3 plt.bar(np.arange (1,5), pca.explained_variance_ratio_) 4 plt.xticks (np.arange (1, 5)) # Set label locations. 5 plt.xlabel("Component number") 6 plt.ylabel("Proportion of Variance") 7 plt.title("Scree Plot") pca = pca = pca.fit(iris_df)

PCA () 1 2 3 plt.bar(np.arange (1,5), pca.explained_variance_ratio_) 4 plt.xticks (np.arange (1, 5)) # Set label locations. 5 plt.xlabel("Component number") 6 plt.ylabel("Proportion of Variance") 7 plt.title("Scree Plot") pca = pca = pca.fit(iris_df)

Database System Concepts
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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Explain what each of the python code is doing:

 

PCA () 1 2 3 plt.bar(np.arange (1,5), pca.explained_variance_ratio_) 4 plt.xticks (np.arange(1, 5)) # Set label locations. 5 plt.xlabel("Component number") 6 plt.ylabel("Proportion of Variance") 7 plt.title("Scree Plot") pca = pca = pca.fit(iris_df)
Transcribed Image Text:PCA () 1 2 3 plt.bar(np.arange (1,5), pca.explained_variance_ratio_) 4 plt.xticks (np.arange(1, 5)) # Set label locations. 5 plt.xlabel("Component number") 6 plt.ylabel("Proportion of Variance") 7 plt.title("Scree Plot") pca = pca = pca.fit(iris_df)
print(iris_df.head())
Transcribed Image Text:print(iris_df.head())
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