Comments (6)
Hello Sir !
I want to work on this project and on this issue also but I am a beginner So will you please guide me how to start and how to solve this issue ?
from breast-cancer-predictor.
@manan-bedi2908 please guide him with the appropriate procedue.
from breast-cancer-predictor.
@Himanshi2016 Hi, so basically, you have to create a Logistics Regression Model to predict the Breast Cancer first. You may select the appropriate features from the numerical data provided in the repo
For any doubts, you can ping me on slack personally Manan Bedi (M) in the Project Channel. Would be happy to help you!
from breast-cancer-predictor.
okay sir, Thank you
from breast-cancer-predictor.
Hello Sir, I want to be assigned this issue and proceed with the same. I can contribute to it.
from breast-cancer-predictor.
@TanweerulHaque Assigned to you! Go ahead
@Himanshi2016 , you can still ask your doubt and work for creating other models. The method is generally same
from breast-cancer-predictor.
Related Issues (20)
- Adding a database HOT 1
- FEEDBACK FORM AND OPINION HOT 2
- Classification Using Ensemble learning techniques HOT 4
- Feature Selection HOT 4
- Data Visualization of Breast Cancer Dataset HOT 5
- CNN Model To Predict Breast Cancer Using Image HOT 4
- Model to Predict Breast Cancer using EvalML HOT 2
- Applying boosting algorithm to get better accuracy HOT 1
- Compare different Transfer learning method on image dataset HOT 2
- Ensembling/ Stacking different pretrained weights for the classification. #GSSOC'22 HOT 2
- Breast Cancer Detection using adaboost classifier HOT 7
- Adding Logging Module HOT 1
- Breast_Cancer_Predictions_using_LogisticRegressor_DecisionTree_RandomForestClassifer_Model HOT 4
- Breast Cancer Predictions using CatBoost HOT 4
- EDA and Decision Tree Algorithm for predicting Breast Cancer HOT 1
- XGBClassifier HOT 1
- Add a walkthrough/description file HOT 5
- Breast Cancer prediction using CNN HOT 1
- Adding CNN Model To Predict Breast Cancer with the help of an Image
- Catboost model
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