Brain Tumor MRI Classification Dataset Preparation

This notebook focuses on data analysis, class exploration, and data augmentation. Below are the tasks implemented in this notebook:

1. 🔍 Class Exploration

   • Exploring class distribution
   • Analyzing image size distribution for both training and testing datasets

2. 📉 Dimension Reduction

   • Performing necessary dimension reduction

3. 🛠️ Pre-processing Tasks

   • Applying image processing techniques for effective pre-processing

4. 🌟 Data Augmentation

   • Enhancing datasets using augmentation techniques

This workflow ensures better insights into the dataset while preparing it for training and testing!

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