DL-Simplified

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Deep Learning Simplified Repository (Proposing new issue)

:red_circle: Project Title : Breast Cancer Detection :red_circle: Aim : To develop a model for detecting breast cancer using deep learning techniques. :red_circle: Dataset : CSV dataset with numerical and categorical features related to breast cancer. :red_circle: Approach : Implement Neural Network for Regression using a CSV dataset with numerical features, Neural Network for Binary Classification using a CSV dataset with categorical and numerical features, and convert a logistic regression model into a deeper neural network with 7 layers. Compare the performance of these models to find the best-fitted algorithm by checking the accuracy scores. Also, perform exploratory data analysis before creating any model.

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📍 Follow the Guidelines to Contribute to 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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:red_circle::yellow_circle: 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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:white_check_mark: To be Mentioned while taking the issue :

• Full name : Aditya Khamitkar
• GitHub Profile Link : GitHub
• Email ID : [email protected]
• Approach for this Project : Implement Neural Network for Regression, Neural Network for Binary Classification, and convert a logistic regression model into a deeper neural network with 7 layers. Compare the performance of these models.
• What is your participant role? (Mention the Open Source program): Contributor at GSSoC 2024

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Happy Contributing 🚀

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

Hi @TheNaiveSamosa thanks for creating the new issue. Are you able to find out a dataset which contains images, so that you can process the images to get the proper prediction. It'll combine the CNN models too.

please assign this issue to me , I have already made some project on CNN model based project

@abhisheks008 I have images of Breast Histopathology but the thing is its maximum F1 is possible is 0.85. I did a model on that. Will try to increase accuracy this time. And will also try to find out if I can work on the model with Mammogram or Ultra Sound Images. Please do assign it to me.

@abhisheks008 I have images of Breast Histopathology but the thing is its maximum F1 is possible is 0.85. I did a model on that. Will try to increase accuracy this time. And will also try to find out if I can work on the model with Mammogram or Ultra Sound Images. Please do assign it to me.

Cool, looks good to me. Assigned to you @TheNaiveSamosa.

Hi @Vis1hal thanks for showing up here. This issue is raised by the contributor that's why I assigned him this one. The issues which are raised by the username abhisheks008, are open for all, you can find them in the issues section by the Status: Up for Grabs.

I also adding a web app to this project. Similar to previous one.

I also adding a web app to this project. Similar to previous one.

Cool! That's good, really appreciated your efforts.

Can I get a few more days for this. Still working on the code. There isn't any time limit for each issue right?

Can I get a few more days for this. Still working on the code. There isn't any time limit for each issue right?

No issues with that, take your time.

Hey. I'm almost done with the project. I will push the code soon. Could you once again recheck the level of this issue. I think the project was at a good level and time taking too.

Hey. I'm almost done with the project. I will push the code soon. Could you once again recheck the level of this issue. I think the project was at a good level and time taking too.

Create your PR and let us review the code. Depending on the quality of the codes issues can be re-lablled.

Yes, PR has been created.

Hello @TheNaiveSamosa! Your issue #554 has been closed. Thank you for your contribution!