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Code.ipynb ADDED
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+ {
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+ "cells": [
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+ {
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+ "cell_type": "code",
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+ "execution_count": 2,
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+ "id": "f55f9355",
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "Downloading from https://www.kaggle.com/api/v1/datasets/download/hasnainjaved/melanoma-skin-cancer-dataset-of-10000-images?dataset_version_number=1...\n"
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+ ]
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+ },
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+ {
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+ "name": "stderr",
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+ "output_type": "stream",
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+ "text": [
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+ "100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 98.7M/98.7M [01:39<00:00, 1.04MB/s]"
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+ ]
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+ },
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "Extracting files...\n"
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+ ]
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+ },
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+ {
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+ "name": "stderr",
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+ "output_type": "stream",
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+ "text": [
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+ "\n"
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+ ]
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+ },
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "Path to dataset files: /home/ubuntu/.cache/kagglehub/datasets/hasnainjaved/melanoma-skin-cancer-dataset-of-10000-images/versions/1\n"
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+ ]
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+ }
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+ ],
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+ "source": [
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+ "import kagglehub\n",
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+ "\n",
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+ "# Download latest version\n",
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+ "path = kagglehub.dataset_download(\"hasnainjaved/melanoma-skin-cancer-dataset-of-10000-images\")\n",
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+ "\n",
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+ "print(\"Path to dataset files:\", path)"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": null,
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+ "id": "de50025a",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": []
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+ "kernelspec": {
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+ "language": "python",
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+ "name": "python3"
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+ "codemirror_mode": {
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+ "name": "ipython",
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+ "file_extension": ".py",
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+ "mimetype": "text/x-python",
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+ "name": "python",
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+ "nbconvert_exporter": "python",
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+ "pygments_lexer": "ipython3",
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+ "version": "3.12.7"
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+ }
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+ },
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+ "nbformat": 4,
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+ "nbformat_minor": 5
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+ }
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