It's always stupendous to collaborate with someone like you with similar interest in the realm of data science and artificial intelligence.

As part of me, I learn through various resources to keep my skills updated with state-of-the-art technologies both practically and theoretically and meanwhile keep on publishing my notes (codes and relevant notes) so that it might help out someone out there.

Currently, given repository is populated with the following aspects

• Project (on ML algorithms and few misc. categories)
• Mathematical concepts available in Ipython notebooks:
  • Linear algebra
  • Probability and statistics
  • Brief notes on probability distributions
• Tutorials
  • Python packages: Numpy, Pandas, Matplotlib, Seaborn, Scikit-Learn (an overview, for details refer vivekec.github.io).
  • R packages: plyr, dplyr, magrittr, tidyr, etc.
  • Oracle SQL
  • C++17
• Web Scraping (using R rvest)

The repository is updated on frequent timeperiod. For more details refer to vivekec.github.io
In case of any missed citations or specific query write to me @ vivekjaglan[at]outlook[dot]com