• Rohit Shinde
• Shreyash Sontakke
• Nikhil Gupta
• H.R. Kulkarni

This research paper focuses on understanding machine learning techniques, methodologies, and their real-world applications. The study highlights the importance of data preprocessing, model selection, algorithm performance, and evaluation metrics. A comparative analysis of supervised and unsupervised learning methods is presented to understand accuracy, efficiency, and usability. The research uses a structured methodology involving dataset collection, model training, testing, and performance validation. The findings show that machine learning significantly improves prediction accuracy and decision-making across various domains. The paper concludes by emphasizing future improvements such as advanced models, larger datasets, and hybrid learning systems.

The Evolution and Application of Machine Learning in Natural Language

"The Evolution and Application of Machine Learning in Natural Language", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 1, page no.37-46, January-2026, Available :http://www.jetir.org/papers/JETIRHG06004.pdf

"The Evolution and Application of Machine Learning in Natural Language", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 1, page no. pp37-46, January-2026, Available at : http://www.jetir.org/papers/JETIRHG06004.pdf