Machine Learning - Fresh Beginning

Machine Learning

A collection of 3 posts

Using Naive Bayes Theorem to label data

Using Naive Bayes Theorem to label data

Today I am going to write off-topic about using Naive Bayes algorithm for record classification. This is a supervised category of an algorithm. Which means we train the algorithm with given input records with known labels, make model and then apply the created model on unknown records to correctly classify

K - Means Clustering

K - Means Clustering

Speaking of machine learning algorithms, we implemented K-Means clustering algorithm two years ago as a part of Data Mining course (CS-555). The purpose was to given a dataset, cluster it into two or more parts and then optimize the algorithm for number of clusters. We used data from UCI Machine

Naive Bayes Classifier

Naive Bayes Classifier

I recently recalled one of the data mining projects we undertook in the college. Needless to say it was quite an interesting one compared to projects from other courses. Before diving into problem statement I would give a brief account of Naive Bayes classifier and its application in the field