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Analysis aims to classify cancer cells into classes - malignant and benign after dimensionality reduction

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Feature Selection and Dimensionality Reduction

Breast cancer is a significant health concern, and detecting whether a tumor is benign or malignant is crucial for treatment decisions. The "Diagnostic Wisconsin Breast Cancer Database" provides numerical features computed from digitized images of fine needle aspirates (FNA) from breast masses.

(https://www.kaggle.com/datasets/uciml/breast-cancer-wisconsin-data)

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Analysis aims to classify cancer cells into classes - malignant and benign after dimensionality reduction

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