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LOGISTIC REGRESSION FROM SCRATCH


  • Generated data for training and testing initial

  • Picked up a sigmoid link function

  • Calculated the log likelihood: Log likelihood can be viewed as a sum over all the training data point log likelihood

  • Building logistic regression function with gradient calculation gradient

  • Calculating the accuracy from scratch

  • Plotting results solved

  • ACCURACY => 98

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Building Logistic Regression from scratch

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  • Python 100.0%