ITM Web Conf.
Volume 56, 2023First International Conference on Data Science and Advanced Computing (ICDSAC 2023)
|Number of page(s)||10|
|Section||Machine Learning & Neural Networks|
|Published online||09 August 2023|
Evaluating Impact of Skill Oriented Courses on Women Empowerment Using Machine Learning
1 Research Scholar, School of Computer Sciences, MG University, Kottayam, 686560, Kerala, India
2 Principal, Al-Ameen College, Edathala, Kochi, 683564, Kerala, India
* Corresponding author: firstname.lastname@example.org
A nation can not advance fully without the advancement of its women. The conventional way of life for a woman restricted to her family has changed in modern-times. The level of education and employment that women have acquired has an impact on women’s empowerment. On this occasion, it should be investigated whether vocational education is necessary for women employment and whether all women who receive education find employment and are satisfied with their jobs. This research examines the contribution of vocational training on women’s empowerment by gathering data from working women. The machine learning algorithms used here to assess the affects of skill-oriented courses on employability include Artificial Neural Networks (ANN), Support Vector Machines (SVM), Naive Bayes, Random Forest, and Decision Tree. The ANN algorithm was used to perform a more accurate evaluation.
Key words: Women Empowerment / Employability / Skill Oriented courses / Machine Learning Techniques / Accuracy
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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