8000 GitHub - Mach-A/mlr_blr_svm_using_mnist_dataset: Implementing binary / multiple logistic regression models, for the well known mnist dataset while also creating the support vector machine(SVM) models
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Implementing binary / multiple logistic regression models, for the well known mnist dataset while also creating the support vector machine(SVM) models

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Implementing multiple logistic regression and binary logistic regression for the well known mnist dataset

No other py libraries / functions / external tools was used for the regression models aside the below;

import numpy as np

from scipy.io import loadmat

from scipy.optimize import minimize

also creating the support vector machine(SVM) models with multiple radial basis function with multiple gamma settings

from sklearn import svm

from sklearn.svm import SVC

import matplotlib.pyplot as plt

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Implementing binary / multiple logistic regression models, for the well known mnist dataset while also creating the support vector machine(SVM) models

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support-vector-machines radial-basis-function linear-kernel binary-logistic-regression multiple-logistic-regression

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MIT license
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