machine learning

pipeline in machine learning
Machine Learning

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.

precision,recall and F1-score
Machine Learning

When to use Precision, Recall, or F1-score?

There are mainly two types of problems with machine learning. The first one is regression and the second is a classification problem. After building any model, its evaluation is a very important part of making the best model and optimizing it. Here you will know when to use Precision, Recall, or F1 score to evaluate the classification problem.

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