How to use lightGBM Classifier and Regressor in Python LightGBM is a powerful machine learning library in Python that is used for both classification and regression tasks. It is designed to be fast and efficient, and it can be easily integrated into a variety of projects. In this blog post, we will be going over …
Day: February 9, 2019
How to use CatBoost Classifier and Regressor in Python CatBoost is an open-source gradient boosting library that is particularly good at handling categorical variables, making it ideal for datasets with many categorical features. It is used for both classification and regression problems. In this article, we will go over the basics of how to use …
How to use XGBoost Classifier and Regressor in Python XGBoost (eXtreme Gradient Boosting) is a powerful ensemble machine learning algorithm that creates multiple decision trees and combines their predictions to make more accurate predictions. It is widely used in Kaggle competitions and industry projects. It is used for both classification and regression problems. In this …
How to connect MYSQL Database in Python Connecting to a MySQL database in Python is a straightforward process that allows you to access and manipulate the data stored in a MySQL database. In this article, we will go over the basics of how to connect to a MySQL database in Python. First, we need to …
How to use MLP Classifier and Regressor in Python Multi-Layer Perceptron (MLP) is a type of neural network that is used for supervised machine learning tasks, like classification and regression. It’s known for its ability to learn non-linear relationships in the data. In this article, we will go over the basics of how to use …