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Used machine learning classification methods to develop and train a machine learning model that predicts growth of cancerous cells.

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khankhushi/Breast-Cancer-Prediction-Model

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Breast_Cancer_Prediction_Model.ipynb

Breast_Cancer_Prediction_Model.ipynb

 
 

Cancer_prediction.joblib

Cancer_prediction.joblib

 
 

Cancer_prediction_model.joblib

Cancer_prediction_model.joblib

 
 

README.md

README.md

 
 

breast_cancer_prediction_model (1).py

breast_cancer_prediction_model (1).py

 
 

data_cancer.csv

data_cancer.csv

 
 

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Breast Cancer Prediction Model

Objective :

  • Create a model that can predict breast cancer with over 90% accuracy
  • Gain end-to-end experience in machine learning using Python

Data:

Libraries Used:

  • Pandas
  • Numpy
  • Matplotlib
  • Scikit-learn

Models used:

  • Logistic Regression
  • Decision tree
  • Random forest

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Used machine learning classification methods to develop and train a machine learning model that predicts growth of cancerous cells.

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machine-learning logistic-regression decision-tree-classifier random-forest-classifier

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