Classification tasks, such as identifying fraudulent behavior on a credit card, are invaluable to any business or entity. There are many approaches that allow for predicting the class of an unknown object, from simple algorithms like Naive Bayes to more complex ones like XGBoost. However, for most (if not all) of these approaches to modeling… Continue reading Hyperparameter Tuning and Optimization
Tag: Data Science
Hypothesis Testing with the Northwind Database
Microsoft’s Northwind Database has undoubtedly helped many aspiring individuals like myself in being able to play with data techniques such as querying data and building models from the database. There’s a lot that could be done with the database since its schema is relatively simple (see below): Looking at the available information, there’s… Continue reading Hypothesis Testing with the Northwind Database
Feature Selection in Data Analysis
Numbers do not lie, and in our technological era, there is an unprecedented amount of numbers that can provide extremely valuable insight into every sector of the economy. The ability to take this data and digest it properly falls on the shoulders of data scientists. At its most elementary level, analyzing data requires calculating the… Continue reading Feature Selection in Data Analysis