ANSHPG/Malignant-or-Benign-A-Logistic-Regression-Study
I have been working on a logistic regression project from scratch, without relying on external libraries like scikit-learn, to predict whether a patient has breast cancer or not. Typically, breast cancer is classified into two categories: malignant (positive) and benign (negative).
No commits in the last 6 months.
Stars
—
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 26, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ANSHPG/Malignant-or-Benign-A-Logistic-Regression-Study"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
greenelab/pancancer
Building classifiers using cancer transcriptomes across 33 different cancer-types
udityamerit/Breast-Cancer-Prediction-using-different-ML-models
This project implements multiple machine learning algorithms to predict breast cancer diagnoses...
josegcpa/wbs-prediction
Code repository for project focusing on blood cell detection and diagnostic prediction from...
smb-h/breast-cancer-patterns-association-rule-mining
Breast Cancer Pattern Recognition through Association Rule Mining
Eije1/TS_Academy_Capstone_Project
This capstone project focuses on developing a machine learning pipeline to classify brain cancer...