An Analysis for Livelihood Women Entrepreneur Using Machine Learning

The entrepreneur is the person who puts resources together and takes up the responsibilities for reaching the targets and is the risk bearer related to the work. The task of the entrepreneur changed from time to time according to the situation. According to the researcher’s entrepreneur interests in developing countries are less than in developed countries. For last few decades, India is experiencing rapid changes in entrepreneur activities and its benefits among poor and needy people especially women from the weaker section of the society who runs their own business for the upliftment of their livelihood. An entrepreneur is a key development towards the industrial sector which gives rise in per capita income, an increase in the standard of living giving employed to others, it generates revenue to the government through taxes such as sales tax, income tax etc. According to Bihar Entrepreneur Association, there are more than 2000 entrepreneurs created including men and female. There are more than 150 startups that had been started and running successful. Using ML analysed the livelihood women entrepreneur. Main objective of the research to evaluate over regular employment. It is considered a catalyst for economic growth, entrepreneurship, self-funding, sustainability, and innovation-driven corporate practices.