Various usecases and models.
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Check out the famous # Titanic example Really good starting point on how feature engineering and selection really boost predictions and compare with cool models.
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Ada.m.py how I implemented from scratch Adaboost using coordinate descent on spam vs. ham data
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csr.ipynb demonostrates how to handle sparse data
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Salarypredictor
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implementing poly kernel svms and comparing Xvalidation accuracy spam vs. ham dataset