Lukasz Gatarek

Feature engineering for classification models using Bayesian Machine Learning Lukasz Gatarek · Follow Published in Towards Data Science · 6 min read · 8 hours ago — Logistic regression is by far the most widely used machine learning model for binary classification datasets. The model is relatively simple and is based on a key assumption: the existence of a linear decision boundary (a line or a surface in a higher-dimensional feature space) that can separate

How to make linear regression flexible enough for non-linear data Lukasz Gatarek · Follow Published in Towards Data Science · 8 min read · Nov 15, 2024 — The linear regression is usually considered not flexible enough to tackle the nonlinear data. From theoretical viewpoint it is not capable to dealing with them. However, we can make it work for us with any dataset by using finite normal mixtures in a regression model. This way