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srimani-programmer / Breast-Cancer-Predictor

A Flask based web application to predict breast cancer.
GNU General Public License v3.0
155 stars 167 forks source link

Prediction of type of Breast Cancer #80

Closed srimontidutta closed 3 years ago

srimontidutta commented 3 years ago

The project will consist of-

  1. Prediction on the type of Breast Cancer from properties of tumor.
  2. Using different model classifiers on different training sets to find out the most accurate one.
srimani-programmer commented 3 years ago

@srimontidutta Could you please elaborate on your idea?

Elizah550 commented 3 years ago

Hey !!! I have learned this through my learning journey.I want to work on this issue please assign it to me . How I will work : I will use logistic regression model to have best fit and predict our data. I think it can work out.

srimontidutta commented 3 years ago

@srimani-programmer I will be predicting the type of breast cancer case based on the Wisconsin dataset. The prediction will be based on images present in the dataset. Starting with data analysis, I will try to correlate the various parameters present and then use different classifiers to predict the cancer type, and finally conclude with the best model for this analysis.

aayushi1908 commented 3 years ago

Hello. I'm Aayushi, a GSSOC'21 participant. I'm eager to work on this issue as I've already worked on a project similar to this.

In this, I've used Transfer Learning for Face Recognition-- https://aayushibahukhandi.blogspot.com/2020/06/face-recognition-by-transfer-learning.html https://github.com/aayushi1908/Face-Recognition-by-TRANSFER-LEARNING.git

In this, I've tweaked a Deep Learning model using DevOps to get the best accuracy-- https://mytask3.blogspot.com/2020/05/task-3-tweaking-architecture.html https://github.com/aayushi1908/Task-3-MLOPs.git

Please have a look on the above links. My solution to your issue is to combine both of the above projects and your guidance. Kindly assign this issue to me,

srimani-programmer commented 3 years ago

@srimontidutta @Elizah550 @aayushi1908 please make your issue properly with descriptions.