Closed payalsinha12 closed 1 week ago
Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊
@abhisheks008 please assign me the project
Which models are you planning to implement? @payalsinha12
i will implement a model using different classifiers which will helps a person to determine that she was suffering from pcos or not after preparation of model if someone wants to use frontend and backend for it they can @abhisheks008
i will implement a model using different classifiers which will helps a person to determine that she was suffering from pcos or not after preparation of model if someone wants to use frontend and backend for it they can @abhisheks008
Use these models for your project,
Assigned @payalsinha12
Hello @payalsinha12! Your issue #624 has been closed. Thank you for your contribution!
Polycystic Ovary Syndrome (PCOS) is a hormonal imbalance affecting women of childbearing age. Early detection is crucial for proper management. Machine learning offers a promising approach to aid in PCOS diagnosis. The project's core is a well-structured dataset containing patient information relevant to PCOS diagnosis. This data might include: Demographic details (age, weight, etc.) Medical history (menstrual irregularities, acne, etc.) Lab test results (hormone levels, ultrasound findings) I will take the dataset from Kaggle and prepare a model for it . I will 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.
@abhisheks008 please assign me this project .