Brain_stroke Prediction

Brain stroke prediction using different machine learning regression and classification models in R.

Brain stroke prediction using Machine Learning Algorithms (Classification)

Machine Learning Project on Brain Stroke Prediction using Classification Algorithms

This is a mini project on Brain Stroke Prediction using ML Classification Algorithm(Logistic Regression)

BRAIN STROKE PREDICTION USING EXPLORATORY DATA ANALYSIS AND TRAINING 12 LATEST CLASSIFICATION MODELS WITH 99% ACCURACY

SOLVING CLASSIFICATION PREDICTION FOR "BRAIN STROKE" DATASET USING "LOGISTIC REGRESSION, NAIVES BAYES CLASSIFICATION,SUPPORT VECTOR CLASSIFIER,K NEAREST NEIGHBOUR, DESICION TREE CLASSIFIER".

SOLVING CLASSIFICATION PREDICTION FOR "BRAIN STROKE" DATASET USING "LOGISTIC REGRESSION, NAIVES BAYES CLASSIFICATION,SUPPORT VECTOR CLASSIFIER,K NEAREST NEIGHBOUR, DESICION TREE CLASSIFIER".

🧠 AI-powered brain stroke classification from MRI scans using custom-trained VGG19 model. Built with TensorFlow, deployed on Streamlit Cloud with interactive web interface. Features real-time predictions, confidence scores, and medical insights.

Developed a classification model to predict brain stroke based on CT scan data. I Used VGG16 for feature extraction and applied Random Forest algorithm for prediction. And also, Achieved 95% testing accuracy and 99% training accuracy on a balanced dataset (1550 normal & 1550 stroke images).