Breast Cancer Classification with Neural Network | Deep Learning

[ashis2004]

Deep Learning Simplified Repository (Proposing new issue)

🔴 Project Title : Breast Cancer Classification with Neural Network | Deep Learning

🔴 Aim : The Breast Cancer Classification project aims to leverage the power of deep learning to develop a robust neural network model for accurately classifying breast cancer. Breast cancer is a significant health issue affecting millions of women worldwide, and early detection plays a crucial role in effective treatment and patient outcomes.

🔴 Dataset : https://drive.google.com/file/d/1HQqUCF23fihnE3aCbx2MNPmER9o_If_m/view

🔴 Approach : A neural network architecture, such as a Convolutional Neural Network (CNN), is then designed and implemented to capture the intricate patterns and features in the data. The model undergoes rigorous training using backpropagation and optimization algorithms to minimize classification errors. Hyperparameters, including learning rates, batch sizes, and network depths, are fine-tuned to achieve optimal performance.

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📍 Follow the Guidelines to Contribute in the Project :

• You need to create a separate folder named as the Project Title.
• Inside that folder, there will be four main components.
  • Images - To store the required images.
  • Dataset - To store the dataset or, information/source about the dataset.
  • Model - To store the machine learning model you've created using the dataset.
  • requirements.txt - This file will contain the required packages/libraries to run the project in other machines.
• Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.

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🔴🟡 Points to Note :

• The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
• "Issue Title" and "PR Title should be the same. Include issue number along with it.
• Follow Contributing Guidelines & Code of Conduct before start Contributing.

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✅ To be Mentioned while taking the issue :

• Full name : Ashish Kuma Patel
• GitHub Profile Link : https://github.com/ashis2004
• Email ID :[email protected]
• Participant ID (if applicable):
• Approach for this Project :
• What is your participant role? GSSOC contributor

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Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎

[github-actions]

Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊

[abhisheks008]

Already present in this repository. Closing this issue as duplicate.