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Code used for Avazu Kaggle Competition (Logistic Regresson, GBM, MatrixNet)

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royshan/Avazu_Code

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AvazuDataTransform.py

AvazuDataTransform.py

 
 

LogisticRegression.py

LogisticRegression.py

 
 

MatrixNet.py

MatrixNet.py

 
 

MatrixNetData.py

MatrixNetData.py

 
 

README.md

README.md

 
 

run.py

run.py

 
 

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Repository contains code that was used for Kaggle Avazu competition to achieve 18th place.

Main algorithms used:

  1. Logistic Regression with Adaptive Gradient
  2. Stochastic Gradient Boosting Machine (MatrixNet)

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Code used for Avazu Kaggle Competition (Logistic Regresson, GBM, MatrixNet)

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  • Python 100.0%