Passive Aggressive Regression in Machine Learning

Passive Aggressive Regression belongs to the category of online learning in machine learning. It is not one of the most commonly used machine learning algorithms, but it can nonetheless be used to achieve efficient results that solve regression-based problems. So, if you have never used the Passive Aggressive algorithms before, this article is for you. In this article, I will introduce you to the Passive Aggressive Regression algorithm in machine learning and its implementation using Python.

Passive Aggressive Regression

Passive Aggressive Regression is a regression algorithm that falls under the category of online learning in machine learning. You must not have heard much about online learning, it is a category of machine learning where you train a machine learning model incrementally by feeding its instances sequentially, individually or in groups called mini-batches.

In online learning, a machine learning model is trained and deployed in production so that it continues to learn as new data arrives. Thus, the passive aggressive strategy is perfect to use in problems where data is streaming in a continuous flow. Hope you now have understood the Passive Aggressive algorithm in machine learning. In the section below, I’ll walk you through its implementation using Python.

Passive Aggressive Regression using Python

The dataset that I am using to implement this algorithm is based on advertising of a product where our task is to predict the sales of the product based on the amount we are spending on different sources of advertising our product. So below is how you can implement this algorithm to predict the sales of the product using Python:

   Predicted Sales
0        16.045254
1        21.088853
2        21.699498
3         9.092139
4        20.215573

Summary

So this is how you can implement a passive aggressive strategy to solve machine learning problems. It belongs to the category of online learning in machine learning. It is not one of the most commonly used machine learning algorithms, but it can nonetheless be used to achieve efficient results. I hope you liked this article on the passive aggressive regression algorithm in machine learning and its implementation using Python. Feel free to ask your valuable questions in the comments section below.

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Aman Kharwal
Coder with the ♥️ of a Writer || Data Scientist | Solopreneur | Founder
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