R community update: announcing useR Delhi July meetup

In my last post, I’d pointed out the importance of a local community and described how Delhi NCR useR group came about. It’s been a month since we’d started the group and I’m excited to announce that our first meetup is scheduled to take place on 14th July 2018, i.e. upcoming Saturday. Venue for the event is SocialCops headquarters in Saket, New Delhi. As a budding community, support from established organizations is a big boost, and we’re grateful to SocialCops for coming onboard as mentors and venue partners. Event details can be found on meetup and you can RSVP here … Continue reading R community update: announcing useR Delhi July meetup

Kaggle Learn review: there is a deep learning track and it is worth your time

Right from my undergrad days when I was starting out with machine learning to this date, my admiration for Kaggle continues to grow. In addition to being synonymous with and popularizing data science competitions, the platform has served as a launching pad and breeding ground for countless data science and machine learning practitioners around the world, including yours truly. In fact, skills I’d picked up from the platform are part of the reason that I recently got to join SocialCops, a company I’d admired for years. However, I hadn’t been on the platform in 2017 as much as I would … Continue reading Kaggle Learn review: there is a deep learning track and it is worth your time

GSoC 2016 Report – Rperform

Developer: Akash Tandon Mentors: Joshua Ulrich, Toby Dylan Hocking Official Project Link: Rperform: performance analysis of R package code This project meant to deal primarily with development of Rperform’s functionalities to allow developers to obtain potential performance impacts of a pull request (PR) without having to merge, extension of the package’s existing performance metric measurement and visualization functions, and development of a coherent user interface for developers to interact with. About Rperform Rperform is a package that allows R developers to track and visualize quantitative performance metrics of their code. It focuses on providing changes in a package’s performance metrics, … Continue reading GSoC 2016 Report – Rperform