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breast-cancer-datasets-and-codes

This repository contains the code and datasets used in various studies. Each dataset has a designated folder labeled from DB1 to DB8, which includes the source files and codes. However, the enhanced versions of the codes are not included in the repository. The references related to breast cancer diagnosis using ML techniques can be found in the ref folder. Additionally, the video URL for the description of all ML techniques is included in the video url.txt file. For further information, please refer to the following repository: https://github.com/amrrashed/TEST-AUTOML-LIBRARY-IN-PYTHON

#LINKS for youtube videos link for auto ML using python playlist

https://youtube.com/playlist?list=PLAI6JViu7Xmd1urM6kbKuvMTARh-dZ6of

auto keras example

https://youtu.be/dkROQQ4Fem0

MLjar and H2O example

https://youtu.be/f04P5cJZrtE

TPOT EXAMPLE

https://youtu.be/iYMJFNj8fxg

LAZY PREDICT EXAMPLE

https://youtu.be/PkROMlPD3xo

link for ML projest playlist

https://youtube.com/playlist?list=PLAI6JViu7XmcKQpCISPLATV7jkuYRhMsB

classification learner

https://youtu.be/txd1pVDgM3Y

Link for Orange datamining playlist

https://youtube.com/playlist?list=PLAI6JViu7XmfexiRhCF0R5eozmy5pypH3

google colab link to test autoML techniques auto keras (autoML library) : https://colab.research.google.com/drive/10YLP_PtB248CZKqoyPMhGkTb8cFt97CD?usp=sharing

xgboost : https://colab.research.google.com/drive/1YPc0ZvUbABZqM052sZxuIgw4c_haS93Y?usp=sharing

tpot (autoML library) : https://colab.research.google.com/drive/1doQWKX6jUOrasZ0AmMWBiTlL69rhbJN3?usp=sharing

grid search and random search : https://colab.research.google.com/drive/13ONzqHC3s8EX8LuNMitfEE3PQ-dzlRJO?usp=sharing

ML BOX ( autoML library ): https://colab.research.google.com/drive/10dskKAlGkKOUK7EpcxFm3jnv4BAy4qqN?usp=sharing

H2O (auto-ML library) : https://colab.research.google.com/drive/1eFl7aRBbcWi5df5Qimq1Nx3fV3-ciBvB?usp=sharing

MULTI-CLASSIFIERS (TRAIN/TEST) : https://colab.research.google.com/drive/1yg8sEE8Kiyvhe5Tpa1sveTaKNYnEhvSn?usp=sharing

MLjar (autoML library):https://colab.research.google.com/drive/1AfIjI_8drgZbRjXIfdpMuLxKi4InhWq0?usp=sharing

MULTI-CLASSIFIERS(CROSS VALIDATION) : https://colab.research.google.com/drive/1lYu99ae2D3wWFFVWIOIwmTlscr3D6yDy?usp=sharing

MLP WITH RANDOM SEARCH(CROSS VALIDATION) : https://colab.research.google.com/drive/17p00ooV2yjJxVRDS57uJnuOk12l5J-Xi?usp=sharing

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