Data Labeling in Machine Learning with Python

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Labeling Data for Regression

In this chapter, we will explore the process of labeling data for regression-based machine learning tasks, such as predicting housing prices, in situations where there is insufficient labeled data available for training. Regression tasks are tasks that involve predicting numerical values using a labeled training dataset, making them integral to fields such as finance and economics. However, real-world scenarios often present a challenge: labeled data is a precious commodity, often in short supply.

If there is a short supply of labeled data to train a machine learning model, you can still use summary statistics, semi-supervised learning, and clustering to predict the target labels for your unlabeled data. We have ...