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