Class Imbalance — Deep Dive + Problem: Normalize Image

1. 1Identify class imbalance in your dataset using metrics like precision and recall
2. 2Apply techniques like oversampling the minority class or undersampling the majority class
3. 3Use class weights to give more importance to the minority class
4. 4Normalize images by resizing and scaling pixel values between 0 and 1
5. 5Compare the performance of your model with and without class imbalance techniques

Data scientists and machine learning engineers can benefit from this knowledge to improve their model's accuracy and robustness

💡 Class imbalance can significantly affect model performance, but techniques like oversampling and class weights can help

💡 Tackle class imbalance and normalize images to boost your ML model's performance!