Support Vector
Machine (SVM) is a
classification algorithm which separates the data generally into 2 classes
depending on the problem definition. There
are many classification algorithms including Naive Bayes, logistic
regression, nueral nets etc but SVM is one of the sophisticated
methods and...
Naive Bayes implementation in Python from scratch
Naive
Bayes (NB) is considered as one of the basic algorithm in the class
of classification algorithms in machine learning. It is famous
because it is not only straight forward but also produce effective
results sometimes in hard problems. In this blog, I am trying to
explain NB algorithm from the...
Logistic Regression implementation in Python from scratch
Logistic regression is another classification algorithm used in machine learning which is straight forward and efficient. Unlike the linear regression, it has binary or categorical dependent variable. In this article we’ll cover the case where dependent variable is binary but for cases where dependent...
