ML

This article describes the LightGBM algorithm, how it works and how it is different from XGBoost or Gradient Boosting algorithms.

This article covers the CatBoost algorithm’s features and how to apply it to demo datasets to solve classification and regression problems.

This article covers how the RANSAC algorithm works, and compares its results with the Linear Regression algorithm.

This article covers the Isolation Forest algorithm, its logic, and how to apply it to solve regression and classification problems.

This article covers the Gaussian process in-depth and its strategies for solving classification, and regression problems.

This article covers Linear Discriminant Analysis, and demonstrates how you can use it to reduce the dimensions of datasets using Python.

This article describes the XGBoost algorithm and covers its implementation for solving classification and regression problems using Python.