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Low level implementation of various type of Linear Regression and Logistic Regression with python and Numpy

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Linear_and_Logistic_regression

Low level implementation of various type of Linear Regression and Logistic Regression with python and Numpy.

Iris Dataset: http://archive.ics.uci.edu/ml/machine-learning-databases/iris/

Implemented algorithms:
1- Linear Regression with Polynomial Basis Function.
2- Linear Regression with Radial Basis Function.
3- Linear Regression with Radial Basis Function with Prior (MAP).
4- Logistic Regression.

LinearRegressionPolynomial, LinearRegressionRadial, LinearRegressionRadialWithPrior, LogisticRegression

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Low level implementation of various type of Linear Regression and Logistic Regression with python and Numpy

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