During the bootcamp orientation week, students will learn about the projects that they will work on, get familiar with the projects and meet with their mentors. During these projects, students will work on well-defined real-life projects based on the needs of top Silicon Valley companies.

In this program, you will get hands-on experience with Twitter data and run them through NLP processes, classify them with machine learning algorithms, and determine the probability of their categories. With the ongoing growth of the web and social media, there is a tremendous increase in online.

Capital Bike Share – Walk Through Bike-sharing systems are a new generation of traditional bike rentals where the whole process from membership, rental and return back has become automatic. Through these systems, users are able to easily rent a bike from a particular location and return back to another location. This dataset contains the hourly and daily count of rental bikes between 2011 and 2012 in the Capital bike-share system with the corresponding weather and seasonal information.

Gesture Recognition using Convolutional Neural Networks In this project, students will work on images to map hand gestures to sign language. Gesture recognition plays an important role in communication through sign language. It is a fast-growing domain within computer vision and has attracted significant research due to its wider social impact. To tackle the difficulties faced by hearing impairment, it is the need of the hour to develop a system that translates the sign language into text which can easily be recognized by the impaired people. In this project, a static hand gesture recognition system is developed for American Sign Language using a deep Convolutional Neural Network.