项目描述 ：
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.

高级语言： Jupyter Notebook

项目主页：

项目地址: git://github.com/kshitijshrivastava1903/Classifying-cancer-tumour-data-as-malignant-or-benign-using-PCA-and-Logistic-regression.git

创建时间： 2020-06-11T06:53:59Z
项目社区：https://github.com/kshitijshrivastava1903/Classifying-cancer-tumour-data-as-malignant-or-benign-using-PCA-and-Logistic-regression
开源协议：
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