See calendar for updated session dates and times.
Join our Weekly Deviations and Kaggle Meet-Up Sessions
We hold weekly meetings - Weekly Deviations on Fridays and brain-storming for Kaggle and other competitions on Wednesdays.
Please find the guidelines for these sessions:
Everyone is welcome (beginners to advanced R, Python users - just bring your laptop).
Presentations/tutorials will last 30 to 60 mins, on some data science topics that can be useful to many people, with practical examples in either R or Python.
Presentations need not be technical, it can be on a variety of non-technical issues like interviewing skills and tricks to getting acquainted to a new team.
During this time, whenever possible, some food and sodas will be offered.
If you wish to share, present or lead a Weekly Deviations session kindly send us an email.
September Fall 2019 Weekly Deviations Schedule
Click on the title to see the session description
This short tutorial seeks to equip attendees with the basic skill to integrate RStudio with GitHub (a version control platform). This presentation is in line with the broader goal of fostering collaboration among members for the various projects (Kaggle Competitions) for this semester
During this presentation, I will first introduce an efficient programming paradigm called functional programming. This paradigm allows for fast and efficient programming when running several models (say in the 100s or 1000s). An illustrative example with large scale time series forecasting will be explored
This tutorial introduces some techniques such as distributed computing for working with big data
In this tutorial, resampling techniques like the bootstrap, permutation tests and Markov Chain Monte Carlo are applied for large scale inference for online experiments
Some resources from previous sessions