https://github.com/aaaastark/breast_cancer_analysis
Breast_Cancer_Analysis
https://github.com/aaaastark/breast_cancer_analysis
data-science dataset machine-learning numpy pandas python sklearn tensorflow
Last synced: about 2 months ago
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Breast_Cancer_Analysis
- Host: GitHub
- URL: https://github.com/aaaastark/breast_cancer_analysis
- Owner: aaaastark
- Created: 2021-08-27T03:50:07.000Z (almost 5 years ago)
- Default Branch: main
- Last Pushed: 2021-08-27T03:55:45.000Z (almost 5 years ago)
- Last Synced: 2025-10-19T16:50:59.832Z (8 months ago)
- Topics: data-science, dataset, machine-learning, numpy, pandas, python, sklearn, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 3.91 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# **Breast_Cancer_Analysis**
# Machine learning (Python) august,25,2021
**Breast Cancer Analysis**
* Breast cancer (BC) is one of the most common cancers among women worldwide, representing the majority of new cancer cases and cancer-related deaths according to global statistics, making it a significant public health problem in today’s society.
* The dataset it is contains 596 rows and 32 columns of tumor shape and specifications. The tumor is classified as benign or malignant based on its geometry and shape. Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass, which is type of biopsy procedure. They describe characteristics of the cell nuclei present in the image.
**Python Libraries and Dataset**
* Sklearn, Pandas, Subprocess, Matplotlib, Numpy. Data (.csv)