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A Flask based web application to predict breast cancer.

Results 64 Breast-Cancer-Predictor issues
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While working on the walkthrough file, I noticed that only a RandomForest Model was built for this project, I would love to build another model using catboost.

Hello I am a contributor, I would like to contribute by using ensemble machine learning algorithms like bagging, boosting, stacking, voting to the model

assigned
Level1
GSSoc22

Implementation of Naive bayes to identify Malignant or Benign Goal: have high accuracy, besides high precision and recall metrics. Comment down below if you are a GSSoc'22 participant and would...

assigned
Level0
GSSoc22

The ReadME of this project is comprehensive enough but I'd love to take it upon myself to add a walkthrough file to this project. The walkthrough file explains the files...

assigned
GSSoc22

I would like to work on this issue. It will make use of deep learning and Keras to detect breast cancer as malignant or benign

Classify malignant or benign using keras and deep learning model ( CNN / RNN) Comment down below if you are a GSSoc'22 participant and would like to contribute on this...

assigned
Level2
GSSoc22

Hello I am a contributor, I would like to contribute by creating the model to predict the breast cancer using EvalML(Automated Machine Learning library)

assigned
Level1
GSSoc22

New database will be created after running the code which will store our patients data which is entered by user.

changes-requested
GSSoc22

I am a contributor I would like to add feature selection techniques like svd, lda, pca and other non linear feature selection techniques to further optimize the model

Hi, I noticed there's no deep learning model for this project yet. However, some people have been assigned the task of building CNN,RNN and other deep learning architectures with the...

assigned
Level2
GSSoc22