Utilizing deep learning for accurate skin cancer prediction from lesion images for early diagnosis.
-
Updated
Apr 11, 2025 - Jupyter Notebook
#
ai-ml-classification
Here are 7 public repositories matching this topic...
Build a breast cancer prediction model using PyTorch. This project preprocesses data, trains a neural network, and evaluates tumor classification. 🐙
learning data-science network deep pytorch accuracy tensor neural cnn-model breast breast-cancer scaler breast-cancer-classification pytorch-implementation training-pipeline cbis-ddsm-dataset ai-ml-classification
-
Updated
Aug 6, 2025 - Jupyter Notebook
breast cancer prediction model using PyTorch. It preprocesses the dataset, encodes labels, and trains a neural network on the features. Finally, it evaluates the model's performance on test data to classify tumors as malignant or benign.
learning data-science network deep pytorch accuracy tensor neural breast breast-cancer scaler training-pipeline ai-ml-classification
-
Updated
Jul 31, 2025 - Jupyter Notebook
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.
python tensorflow tensorflow-models ai-ml-classification ai-ml-beginner-projects ai-ml-python ai-ml-chatbot
-
Updated
Jun 26, 2025 - Jupyter Notebook
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.
-
Updated
Apr 1, 2025 - Jupyter Notebook
customer preference with factors-age,income,spends
github algorithm notes model svm jupyter-notebook economics dataset research-project kmeans ai-ml-classification
-
Updated
Jan 30, 2025 - Jupyter Notebook
🪪 classify VITB ID cards into hosteller, day scholar, and faculty
-
Updated
Dec 6, 2024 - HTML
Improve this page
Add a description, image, and links to the ai-ml-classification topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the ai-ml-classification topic, visit your repo's landing page and select "manage topics."