Recursive Feature Elimination(RFE): Effective Feature selection method in machine learning
To reduce features in a dataset, two methods are there in machine learning: Feature selection and Feature extraction. Recursive feature […]
sklearn
Naive Bayes Classifier in machine learning- All you need to know
Classification machine learning algorithms use probability to predict the correct class, such as Logistic regression, SVC, decision tree classifier, Lasso
How to make a useful pipeline in machine learning using sklearn
A machine learning pipeline consists of multiple data extraction, preprocessing, and model-building steps. It helps to automate processes that are required in model building. Pipeline helps to include all steps of preprocessing, feature selection, feature extraction, model selection, and model building In one entity. Here we will see how to make a pipeline in machine learning.