An Analysis of Students' Readiness and Facilitators' Perception Towards E-learning Using Machine Learning Algorithms

E-learning is a tool which supports teachers, students and working Executives through mobiles, Computers, tablets. It uses Internet, Satellite, VSAT and Web Technology to execute e-Learning. e- Learning provides 24 * 7 learning environment all over the world. E-Learning helps educational institutions to fill the gap between Teachers and Student in two different geographical locations. Low cost of hardware, software , development in multimedia technology and rise in demand of cheap internet services make e-learning affordable, reachable to every corner of the world. It allows students from rural as well as urban areas to connect anytime. This technology deliver online and offline learning content. Students can access learning content through mobiles and computers in 24 * 7 environments. In India youth play an important role and also youth contribute its major population. So e learning is a tool that caters the need of growing population. E-leaning helps Universities to enroll large numbers of students from all over the world that helps students and Institutions to exchange culture, currency and improve international business and global placement assistance. This project focuses on various emerging technologies and models used in e-learning to improve the learning and skills and to cater the large population of the country. The current study uses the four basics of data science approach i.e. descriptive approach, Diagnostic approach, predictive and perspective approach. World is progressing in all spheres of life and its developments be it technological Social or economic development [12]. Purpose of this project is to suggest a model that helps secondary and vocational education system so that e-leaning reached to every rural area in term of learning, training and helps in assisting placement to young youth by the use of data Science approach.