Machine Learning Algorithms
Algorithms that majorly uses in machine learning
Naive base algorithm — sklearn
Support Vector Machines
sklearn will have all the documentation on naive base and SVM
Below url navigates to sklearn SVM
Whether to return a one-vs-rest ('ovr') decision function of shape (n_samples, n_classes) as all other classifiers, or…scikit-learn.org
3 different parameters that make huge impact on the decision boundary using svm are
kernel,c and gamma.
For data decisions it has functions called kernels
and have differnt kinds
linear,ploy, rbf ,sigmoid and celluloaid
linear kernel represents the linear data lines sepeartin
rbf gives the non-linear separation lines for different data sets.