This is a work on image classification competition in Kaggle. Competition name=SIIM ISIC melanoma classification Links to follow:

1. https://www.kaggle.com/allunia/don-t-turn-into-a-smoothie-after-the-shake-up/notebook _ EDA, missing value, data cleaning
2. https://www.kaggle.com/andradaolteanu/melanoma-competiton-aug-resnet-effnet-lb-0-91/comments - model building using efficient net
3. https://www.kaggle.com/nroman/melanoma-external-malignant-256

• Merged external data for the malignant images Targets: Benign - 32542, Malignant - 5106

4. https://www.kaggle.com/shonenkov/melanoma-merged-external-data-512x512-jpeg?select=folds.csv

• Merged external data from 2017/18/19 along woth 2020. Targets: Benign- 55008, Malignant- 5479

5. https://www.youtube.com/watch?v=meg8I1GdtUg - Youtube lecture on 2018 competition win