Boosting

ArticleVideos How many boosting algorithms do you know? Can you name at least two boosting algorithms in machine learning? Boosting algorithms have been around …

XGBoost has quickly become a popular machine learning technique, and a major diffrentiator in ML hackathons. Learn the math that powers it, in this article.

Ensemble models combine predictions from multiple models to improve the overall performance. Bagging and Boosting are two important ensemble learning techniques. Important techniques random forest, gradient boosting, XGBoost, CatBoost, LightBoost

ArticleVideos Introduction Decision Trees are one of the most respected algorithm in machine learning and data science. They are transparent, easy to understand, robust …

ArticleVideos Introduction Over the last 12 months, I have been participating in a number of machine learning hackathons on Analytics Vidhya and Kaggle competitions. …

ArticleVideos Introduction Ensemble modeling is a powerful way to improve the performance of your machine learning models. If you wish to be on the …

ArticleVideos Overview Contains a list of widely asked interview questions based on machine learning and data science The primary focus is to learn machine …

ArticleVideos Introduction Did you know that the concept of Regression was invented almost 2 centuries ago ? Neither did I, until I decided to step into the …

ArticleVideos Introduction Last week, I wrote an introductory article on the package data.table. It was intended to provide you a head start and become familiar …

ArticleVideos Introduction Surprises arrive when you expect them least to arrive. The Seer’s Accuracy turned out to be a challenging surprise for data scientists.  So, what …