Published in Towards Data Science·Jan 2, 2020Bagging, Boosting, and Gradient BoostingAn Easy-to-Understand Explanation — Bagging Bagging is the aggregation of machine learning models trained on bootstrap samples (Bootstrap AGGregatING). What are bootstrap samples? These are almost independent and identically distributed (iid) samples – in that there is low correlation between the samples and they are drawn from the same distribution. The process of bootstrapping is…Machine Learning6 min read
Published in Towards Data Science·Apr 28, 2019How to Start Competing on KaggleYou’ve just completed your first machine learning course and you’re not sure where to begin applying your newfound knowledge. You could start small by playing with the Iris dataset or combing through the Titanic records (and this is probably the first thing that you should do). But what’s more fun…Data Science10 min read
Published in Towards Data Science·Jan 14, 2019An Analysis of Property Prices in IrelandDublin is in the middle of a housing crisis. Rent control has been introduced in parts of the city but has yet to make an impact on prices. Many young workers are unable to rent, let alone get together the money to purchase, residential property. …Housing9 min read
