Skin Cancer Lesion Classification Using the HAM10000 Dataset

Learn to classify skin cancer lesions using the HAM10000 dataset in this comprehensive tutorial video. Explore the seven classes of skin cancer lesions, including melanocytic nevi, melanoma, and basal cell carcinoma. Dive into the process of implementing Auto Keras, handling metadata, converting labels, and resampling data. Master the creation of DataFrames, model assembly, fitting, and result analysis. Compare outcomes and gain valuable insights into skin cancer lesion classification techniques. Access accompanying code and dataset links for hands-on practice and further exploration.

Introduction
Auto Keras
Metadata
Converting labels
Resampling
DataFrame
Put model together
Fit model
Results
Comparison