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https://github.com/MrKhan0747/Breast-Cancer-Detection
https://github.com/MrKhan0747/Breast-Cancer-Detection
breast-cancer breast-cancer-prediction breast-cancer-tumor breast-cancer-wisconsin breastcancer-classification classification classification-model kaggle kaggle-dataset knn-classification logistic-regression machine-learning random-forest svm-classifier
Last synced: 3 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/MrKhan0747/Breast-Cancer-Detection
- Owner: MrKhan0747
- Created: 2019-03-19T07:48:44.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2019-04-22T12:23:26.000Z (over 5 years ago)
- Last Synced: 2024-05-29T23:17:34.863Z (6 months ago)
- Topics: breast-cancer, breast-cancer-prediction, breast-cancer-tumor, breast-cancer-wisconsin, breastcancer-classification, classification, classification-model, kaggle, kaggle-dataset, knn-classification, logistic-regression, machine-learning, random-forest, svm-classifier
- Language: Jupyter Notebook
- Size: 1.56 MB
- Stars: 2
- Watchers: 2
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-ai-cancer - MrKhan0747/Breast-Cancer-Detection - Simple model for the Wisconsin dataset using logistic regression, support vector machine, KNN, naive Bayes, and random forest classifier (Code / Repositories)
README
# Breast Cancer Detection
## Objective
Downlaod dataset from https://www.kaggle.com/uciml/breast-cancer-wisconsin-data
### Techniques Used
- Data Cleaning
- Data Visualization
- Machine Learning Modeling### Algortihms Used
1. Logistic Regression
2. Support Vector Machine
3. KNN
4. Naivye Bayes
5. Random Forest Classifier### Model Evaluation Methods Used
1. Accuracy Score
2. ROC AUC Curve
3. Cross Validation
4. Confusion Matrix## Guide Lines
### Packages and Tools Required:
```
Pandas
Matplotlib
Seaborn
Scikit Learn
Jupyter Notebook
```
### Package Installation
```
pip install numpy
pip install pandas
pip install seaborn
pip install scikit-learn
pip install matplotlib
```
Jupyter Notebook Installation Guide https://jupyter.org/install