Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
It discusses various categories of ML algorithms, including Supervised Learning, Unsupervised Learning, and Reinforcement Learning, all of which are well-established in the domain of computer programming. In addition to these, Deep Learning—a specialized branch of ML—plays a crucial role in enhancing the capabilities of intelligent systems by enabling large-scale data analysis.
The study examines how Python can be effectively applied to implement ML techniques. It provides a comprehensive overview of the key concepts, historical background, commonly used methods, and diverse applications of ML within the broader context of Artificial Intelligence (AI). The primary objective of this research is to disseminate knowledge about ML and its integration into various AI-driven domains. A solid understanding of AI is essential for leveraging the full potential of ML techniques.
"An Analytical Study on Machine Learning and Python Frameworks in Academic Institutions", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.b438-b445, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506153.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator