How to classify “wine” using SKLEARN Naïve Bayes models – Multiclass Classification in Python In machine learning, the task of classifying wine is known as multiclass classification, as there are multiple classes (or types) of wine that need to be identified. One popular approach to multiclass classification is to use Naive Bayes models, which are …
Month: February 2019
How to classify “wine” using SKLEARN linear_models – Multiclass Classification in Python Classifying wine can be an important task for those in the wine industry. In machine learning, this task is known as multiclass classification, as there are multiple classes of wine that need to be identified. One popular approach to multiclass classification is to …
How to import CSV file in Python A CSV (Comma Separated Values) is a plain text file format that stores data in a tabular form, similar to a spreadsheet or database, each line in the file represents a row in the table and each field(column) within that row is separated by a comma. It’s an …
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 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 …
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 …