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In this machine learning project I will work on the Wisconsin Breast Cancer Dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter).

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shibajyotidebbarma/Machine-Learning-with-Scikit-Learn-Breast-Cancer-Winconsin-Dataset

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.ipynb_checkpoints

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mglearn

mglearn

 
 

Machine Learning with Scikit-Learn - The Cancer Dataset - KNN.ipynb

Machine Learning with Scikit-Learn - The Cancer Dataset - KNN.ipynb

 
 

Machine Learning with Scikit-Learn - The Cancer Dataset - Logistic Regression.ipynb

Machine Learning with Scikit-Learn - The Cancer Dataset - Logistic Regression.ipynb

 
 

Machine Learning with Scikit-Learn - The Cancer Dataset - Neural Network.ipynb

Machine Learning with Scikit-Learn - The Cancer Dataset - Neural Network.ipynb

 
 

README.md

README.md

 
 

breast-cancer-wisconsin-data.csv

breast-cancer-wisconsin-data.csv

 
 

preamble.py

preamble.py

 
 

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Machine-Learning-with-Scikit-Learn-Breast-Cancer-Winconsin-Dataset

KNN

  • Prediction Accuracy of 93%

Logistic Regression

  • For C=100, Accuracy = 96.5%

Neural Network

  • Classification Accuracy = 97.2%

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In this machine learning project I will work on the Wisconsin Breast Cancer Dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter).

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machine-learning neural-network ipython machine-learning-algorithms jupyter-notebook python3 datascience neural-networks breast-cancer-prediction breast-cancer-wisconsin breast-cancer

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