Breast-Cancer-Analysis

KO | EN

gitlite — search

#hacktoberfest #react #ai #llm #golang #go #android #machine-learning #linux #java #windows #pytorch #openai #ios

Breast-Cancer-Analysis

(★ 12)

This project analyzes breast cancer data using Python, employing libraries for data manipulation, visualization, and machine learning. The main objectives are to explore the dataset, visualize insights, and implement classification algorithms to predict breast cancer diagnoses.

Breast-Cancer-Analysis 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# Breast Cancer Analysis Using Python

## Technologies Used

- Python
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Scikit-learn

## Dataset

The dataset used for this analysis is the **Breast Cancer Wisconsin (Diagnostic) Data Set**. It consists of various features related to tumor characteristics, such as size, texture, and shape, which are valuable for predicting the presence of cancer.

You can find the dataset [here](https://www.kaggle.com/datasets/uciml/breast-cancer-wisconsin-data).

### Key Features
- **Radius:** Mean of distances from the center to points on the perimeter.
- **Texture:** Standard deviation of gray-scale values.
- **Perimeter:** Length of the tumor's perimeter.
- **Area:** Area of the tumor.
- **Smoothness:** Local variation in radius lengths.

### Target Variable
- **Diagnosis:** M (Malignant) or B (Benign).

This dataset is widely used for machine learning classification tasks and provides a solid foundation for analyzing breast cancer predictions.

## Contact

If you need any help with this project, feel free to reach out to me via email: [karthikgr1908@gmail.com](mailto:karthikgr1908@gmail.com).

Breast-Cancer-Analysis

Breast-Cancer-Analysis 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Breast-Cancer-Analysis

Breast-Cancer-Analysis 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README