GitHub / Ehsan-Behzadi / Breast-Cancer-Prediction-Model
This project implements a machine learning model to predict breast cancer diagnosis. Utilizing techniques such as data preprocessing, feature selection, and various algorithms, the model aims to assist in early detection and improve healthcare outcomes. Explore the repository to understand the methodology and technologies used in this project.
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Language: Jupyter Notebook
Size: 793 KB
Dependencies parsed at: Pending
Created at: 3 months ago
Updated at: 17 days ago
Pushed at: 17 days ago
Last synced at: 17 days ago
Topics: breast-cancer-prediction, breast-cancer-wisconsin, data-imputation, data-preprocessing, dbscan-clustering, feature-selection, handling-missing-values, iqr-method, k-nearest-neighbours, lasso-regression, machine-learning, mice-algorithm, mutual-information, outlier-detection, predictive-modeling, randomizedsearchcv, robust-scaler, standardization, tuning-hyperparameters