/Classifying-cancer-tumour-data-as-malignant-or-benign-using-PCA-and-Logistic-regression

Built a 97% accurate logistic regression model on breat cancer dataset by reducing the dimensions of the data using Pricipal Component Analysis and applying logistic regression on the reduced 2 principal components, to accurately classify data. Used numpy, pandas, matplotlib, PCA, and scikit-learn.

Primary LanguageJupyter Notebook

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