The E-Commerce industry is a new way of shopping. Most manufacturers prefer to sell their products on E-commerce websites because of low maintenance and high returns. This paper highlights the application of data science and deep learning methodologies to drive the E-commerce business. The first part of the paper explains the role of data science to identify potential customers, items recommendations and fraud detections. Different stages of building E-commerce websites and the role of proper handling of data is then highlighted. The second part of the paper is about the use of deep learning approaches like Recurrent neural networks in analysing textual information is presented with a demonstration of three architectures. At last, the importance of convolutional neural networks in the E-commerce industry is presented. Fashion related images like dresses, shoes and bags are classified using two separate convolution neural network architectures.

Uniqueness or distinction of an individual is his face. Right now, of an individual is utilized with the end goal of participation making consequently. Maintaining participation is very critical for student success tests at all learning institutes, Uniqueness or distinction of an individual is his face. Right-now of an individual is utilized with the end goal of participation making consequently attendances are manually taken using unit leaders provided appointment sheets as part of the regulations. Expect that the term for one subject is around an hour or 1 hour and to record participation takes 5 to 10 minutes. For each guide this is utilization of time. This method is recursive, extremely particular but mistaken by certain understudies sign up regularly with lost mates. The strategy in fact, it allows it impossible to track participant involvement understudies just one enormous homeroom condition. To avoid these misfortunes, a programmed procedure is utilized right now depends on picture preparing. Right now, location and face acknowledgment is utilized. Right now, propose the structure and utilization of a face identification and acknowledgment framework to naturally identify understudies going to a talk in a homeroom and imprint their participation by perceiving their appearances.