A Machine Learning Approach for District-Wise Classification of Employability Rate in Southern Indian States

Prediction and classification of data regarding the economic sustainability status of various districts of Southern Indian States / UT viz., Tamil Nadu, Kerala, Karnataka, Undivided Andhra Pradesh and Pondicherry. Prediction of sustainable employability of population using parameters such as Literacy and Higher Education using Machine Learning approach is the basis of this research work. Since Independence the Government of India has periodically introduced several schemes that aim at generating continuous and sustainable employment to the unemployed youth of large segment of underprivileged communities. Machine learning is an approach where computers are trained to make accurate predictions with previous knowledge and experiences. This project uses Machine learning algorithms to suggest future implementation for the employability of a candidate of a particular district in the recruitment process to sphere head the growth and development of the individual and State.Result analysis is a key for any endeavour. The work given in this paperdiscussed about the approaches of machine learning techniques for predict the employability status of every district of the Southern Indian states. The proposed work considered the data from the census of year 2011, Government of India for conducting the studies of the unemployment. Making betterments in schemes for various districts of different states and Union Territory based on their present employability status is necessary for the overall credibility and successful implementation.