My education in the fundamentals of machine learning has mainly come from Andrew Ng's excellent Coursera course on the topic. One thing that wasn't covered in that course, though, was the topic of ...

This is an implementation of the research paper "A Short Introduction to Boosting" written by Yoav Freund and Robert E. Schapire. Machine Learning algorithms specially those concerning classification ...

Boosting is a supervised machine learning algorithm for primarily handling data which have outlier and variance. Recently, boosting algorithms gained enormous popularity in data science. Boosting ...