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Bu dosyada OLC731 dersinin 4. haftasına ilişkin ders notları, kendinizi test edin soruları ve korelasyon formülü yer almaktadır.

This report explores the application of Principal Component Analysis (PCA) on the mtcars dataset, which contains various attributes of car models from the 1970s. The analysis aims to reduce dimensionality while preserving variance, identifying key components that capture the most significant features of the dataset.

R for Data Science Workbook

Clustering on the USArrests dataset, applying different methods such as k-means clustering and hierarchical clustering, also visualize the results using PCA and dendrograms to compare the clustering outcomes.