Information & Notes
Completion requirements
Book:
Please download:
Python: Anaconda: https://www.anaconda.com/products/individual
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Please register:
R: rstudio cloud https://rstudio.cloud/
Python Anywhere: https://www.pythonanywhere.com/
Snatchbot: https://snatchbot.me/
OpenAI: https://openai.com/
Replicate: https://replicate.com/ (you need to register for github as well)
Midjourney: https://www.midjourney.com/
Discord: https://discord.com/
github: https://github.com/
render: https://render.com/
google makersuite: https://aistudio.google.com/app/prompts/new_chat
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Useful link:
IEEE conference: https://conferences.ieee.org/
Previous Publication : https://1drv.ms/f/s!Aik2a4x7tvLygtVJXL-9urnMXzmJfg?e=BDQb65
Google Drive: Code: https://drive.google.com/drive/folders/1fXjR7HWQVDvW4b_UwFmEM_NymlOo4Wbw?usp=sharing,
Google Drive: Data: https://drive.google.com/drive/folders/1DWSSkL9zMwXktar8rxC_3rUGqxwNNTrR?usp=sharing
Noted that all scores listed in NTUlearn are subject to moderation.
Data:
https://www.kaggle.com/datasets/nazmul0087/ct-kidney-dataset-normal-cyst-tumor-and-stone
https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia (MUST DOWNLOAD, WILL BE USED IN CLASS)
https://www.kaggle.com/datasets/tourist55/alzheimers-dataset-4-class-of-images
https://www.kaggle.com/datasets/aryashah2k/breast-ultrasound-images-dataset?resource=download