GitHub - SaiEshwar-Pennada/Brain_Tumor_Detection: this project is based on brain tumor detection using image classification and deep learning models like CNN , KNN , Logistic Regression , XG-Boost , Random Forest and RESNET50V2. After testing these 6 models the best model among these 6 with high accuracy is taken and trained to the model and predicted the out put

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this project is based on brain tumor detection using image classification and deep learning models like CNN , KNN , Logistic Regression , XG-Boost , Random Forest and RESNET50V2. After testing these 6 models the best model among these 6 with high accuracy is taken and trained to the model and predicted the out put

Dataset: https://www.kaggle.com/datasets/navoneel/brain-mri-images-for-brain-tumor-detection

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
Brain_tumor_Detection_Using_Knn_,_Random_Forest,_XG_boost,_Logic_Regression_.ipynb		Brain_tumor_Detection_Using_Knn_,_Random_Forest,_XG_boost,_Logic_Regression_.ipynb
Brain_tumor_detector_using_ResNet50V2.ipynb		Brain_tumor_detector_using_ResNet50V2.ipynb
Tumor.h5		Tumor.h5
app.py		app.py
brain tumor model.ipynb		brain tumor model.ipynb
tumor.json		tumor.json