https://github.com/mdh266/cancer_detection
Classification Models For Cancer Detection
https://github.com/mdh266/cancer_detection
cancer-detection classification logistic-regression matplotlib pandas python seaborn
Last synced: 7 months ago
JSON representation
Classification Models For Cancer Detection
- Host: GitHub
- URL: https://github.com/mdh266/cancer_detection
- Owner: mdh266
- Created: 2017-02-03T23:22:42.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-03-16T01:28:11.000Z (over 8 years ago)
- Last Synced: 2025-01-31T14:43:20.665Z (8 months ago)
- Topics: cancer-detection, classification, logistic-regression, matplotlib, pandas, python, seaborn
- Language: Jupyter Notebook
- Homepage: http://michael-harmon.com/blog/Cancer_Detection.html
- Size: 966 KB
- Stars: 1
- Watchers: 2
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Classification Models For Cancer Detecton
## Introduction
The purpose of this blog post/notebook is to practice using classification models for cancer detection. We will be working with breast tissue data provided by the University of California Irvine (UCI) Machine learning course which can be found here. We will go over logistic regression with and without l1 regularization as well as evaluating both models.
## Requirements
1. Python (2.7)
2. Jupyter Notebook
3. NumPy
4. matplotlib
5. Seaborn
6. scikit learn
7. Pandas
To install the requirements with pip (except for Python), type in the main directory:
pip install -r requirements.txt