wdbc

Breast Cancer Wisconsin (Diagnostic) Data Set: Predict whether the cancer is benign or malignant.

Contains courses in specializations of coursera on deep learning

Testing 21 models (machine learning ensemble) on the WDBC data set

Comparison of PCA, Linear Regression and Logistic Regression method in terms of accuracy and error rate for breast cancer dataset

Read World of Warcraft DBC files in C#, with strongly-typed classes generated at compile time

This is a collection of the first 12 assignments on Udemy's Web Development Bootcamp by Colt Steele. This page was created using Bootstrap 4.

Complete and Reproducible baseline for tabular breast-cancer diagnosis on the WDBC dataset. The project includes tidy EDA, feature prep, stratified train/test splits, and side-by-side benchmarking of Logistic Regression, SVC, Decision Tree, and Random Forest—delivering ~98% test accuracy with clear visuals and comparisons.(Research/educational use)

Update of WDBC.zip (Breast cancer disease classification using fuzzy-ID3 algorithm with FUZZYDBD method: automatic fuzzy database definition)

This repository contains all the projects completed as part of the Machine Learning course.