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
DISCLAIMER: Before you begin, be aware that the protagonist of any fictional account that this write-up might contain would be a male and would be referred to as a ‘he’ or at times, simply as ‘coder’. That’s not because the … Continue reading Open Source: The itch, the hustle and the merge
tl;dr Code for scraping GSoC data from Google Developers website for the years 2005-08 and storing it as csv files can be found here: GSoC data digging on Github Two csv files will be created: org_numbers.csv (containing information about the … Continue reading Digging into GSoC Data: Scraping 101 (Part 1)
For the last two years or so, I have been involved with Python in an on-off relationship of sorts. I possessed syntactical familiarity, had completed a MOOC and couple of web projects using Django. I had also read up on … Continue reading Python in the open!