GitHub - DuranAngela563/UnsupervisedL_world_hapiness: (R) Apply preprocessing such as feature extraction, missing values, duplicates and outliers, feature selection. Make visualizations, PCA,FA. Finally, apply different methods of clustering(K-Means, PAM, Hierarchical) to obtain groups of countries based on their unique characteristics. I have identified commonalities and disparities among countries.

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(R) Apply preprocessing such as feature extraction, missing values, duplicates and outliers, feature selection. Make visualizations, PCA,FA. Finally, apply different methods of clustering(K-Means, PAM, Hierarchical) to obtain groups of countries based on their unique characteristics. I have identified commonalities and disparities among countries.

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Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
project2_statisticalL.Rmd		project2_statisticalL.Rmd
project2_statisticalL.html		project2_statisticalL.html
project_html_pdf.pdf		project_html_pdf.pdf
sampled_test_set_class.csv		sampled_test_set_class.csv
sampled_train_set_class.csv		sampled_train_set_class.csv