Categories: AI/ML Research

Tips for Effective Feature Engineering in Machine Learning

Feature engineering is an important step in the machine learning pipeline. It is the process of transforming data in its native format into meaningful features to help the machine learning model learn better from the data. If done right, feature engineering can significantly enhance the performance of machine learning algorithms. Beyond the basics of understanding […]

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7 Pandas Tricks for Time-Series Feature Engineering

Feature engineering is one of the most important steps when it comes to building effective machine learning models, and this is no less important when dealing with time-series data.

August 8, 2025

In "AI/ML Research"

7 Feature Engineering Tricks for Text Data

An increasing number of AI and machine learning-based systems feed on text data — language models are a notable example today.

October 17, 2025

In "AI/ML Research"

5 Advanced Feature Engineering Techniques with LLMs for Tabular Data

In the epoch of LLMs, it may seem like the most classical machine learning concepts, methods, and techniques like feature engineering are no longer in the spotlight.

October 23, 2025

In "AI/ML Research"

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