  e-Education has developed as one of the most encouraging territories. The
Indian Government is investing all amounts of energy to improve education among
the residents of the nation. School and graduate understudies are focused on,
however the stage is being created for all the residents seeking to learn.
Without a doubt, the objective is to build the quantity of literates with
advanced education. To accomplish the equivalent, propels in Data and
Correspondence innovation are being utilized in the education division, which
has cleared route for e-Training in India as well. To help educators in
concentrating more on more current viewpoints, their excess work can be
disposed of utilizing Machine Learning (ML). Difference to programming, ML
deals with information and answers to create rules. In the event that Machine
Learning is tackled effectively, it can setup the training division and
contribute essentially to the development of the country. Hence, the work
presented in this paper fortifies e-Education in India utilizing Machine
Learning. For the most part, three concerns are focused to be tended to:
Personalized recommendation of course and Customized teaching methodology. The
work proposes utilizing developmental methodology of hereditary calculations
for improving conventional procedures. Implementation and experiments presented
in the paper verify the viability of proposed calculations.
