Utilizing deep learning for accurate skin cancer prediction from lesion images for early diagnosis.
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Updated
Apr 11, 2025 - Jupyter Notebook
Utilizing deep learning for accurate skin cancer prediction from lesion images for early diagnosis.
developed a convolutional neural network to classify distinct skin diseases extracted from the dataset ‘dermnet’, using VGG-16 and ResNet-50 achieving the validation accuracy of ‘96.03%’ and ‘90.48%’ in respective model.
A powerful collection of end-to-end AI and Machine Learning projects using Python, covering intelligent chatbots, image and text classification, predictive analytics, deep learning with TensorFlow/Keras, real-time applications, and tools for automation, data science, and NLP tasks.
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