1 publication

• Published Subscription Review Article 10 Aug 2026

  Feature Engineering in Modern Predictive Modeling: Techniques, Automation Frameworks and Emerging Trends

  By Jyoti Panchariya, Surendra Kumar Yadav, Shruti Mathur

  Abstract: Feature engineering plays a crucial role in developing reliable and high-performing predictive models. It involves transforming raw and unprocessed data into meaningful features that help machine learning algorithms achieve better accuracy and overall performance. Feature engineering is helpful in identifying hidden patterns, removing noise, and increasing the signal-to-noise ratio in data sets. Machine learning techniques have progressed remarkably over the years, and the effectiveness of these models largely depends on …

  Published in Journal of Computer Technology & Applications · Vol. 17, Issue 2, 2026 · pp. 32–40 Read article →