How to use SVM Classifier and Regressor in Python Support Vector Machine (SVM) can be used for both Classification and Regression tasks. In classification, the goal is to assign a label to a given input, like determining which digit the image represents (0-9) from an image of a handwritten digit. In Regression, the goal is …
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 …
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 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 …
How to use GradientBoosting Classifier and Regressor in Python 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 used for both classification and regression problems. In this article, we will go over the basics of how to use Gradient …
How to use RandomForest Classifier and Regressor in Python Random Forest is an ensemble machine learning algorithm that creates multiple decision trees and combines their predictions to make more accurate predictions. It is used for both classification and regression problems. In this article, we will go over the basics of how to use Random Forest …
How to use AdaBoost Classifier and Regressor in Python AdaBoost is an ensemble machine learning algorithm that combines several weak models to create a strong model. It is used for both classification and regression problems, and it’s commonly used with decision tree models. In this article, we will go over the basics of how to …
How to use Classification and Regression Tree (CART) in Python Classification and Regression Trees (CART) is a popular method of supervised machine learning that uses a tree-based model to make predictions. It is used for both classification and regression problems, hence the name. In this article, we will go over the basics of how to …
How to do MinShift based Clustering in Python Mean-Shift Clustering is a method of clustering that is based on kernel density estimation. It works by iteratively shifting each data point to the center of the dense region surrounding it. It is an unsupervised method, meaning it finds the clusters without any prior knowledge of the …