https://github.com/amira921/brain-tumor-classification

ML project to classify benign from malignant tumors using Jupyter notebook
https://github.com/amira921/brain-tumor-classification

classification decision-tree jupyter-notebook knn machine-learning naive-bayes preceptron random-forest

Last synced: 5 days ago
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ML project to classify benign from malignant tumors using Jupyter notebook

• Host: GitHub
• URL: https://github.com/amira921/brain-tumor-classification
• Owner: amira921
• Created: 2022-05-27T23:30:37.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-05-28T00:40:42.000Z (over 3 years ago)
• Last Synced: 2025-10-08T20:04:18.963Z (5 days ago)
• Topics: classification, decision-tree, jupyter-notebook, knn, machine-learning, naive-bayes, preceptron, random-forest
• Language: Jupyter Notebook
• Homepage:
• Size: 3.06 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
Brain Tumor Classification

Manual identification of brain tumors is an error-prone and tedious process for radiologists; therefore, it is crucial to adopt an automated system.


Machine Learning Models


- Decision Tree

- Random Forest Classifier

- Naive Bayes Classifier

- K-Nearest Neighbor Classifier

- Perceptron

Data Preprocessing


**Techniques applied:**

 - Dropping useless Features

 - Remove Outliers

 - Feature Scaling

 - Feature Selection