This repository consists of codes for algorithms and data structures that were necessary to solve programming assignments issued in the Stanford's online class on "Design and Analysis of Algorithms Part - 1" taught by professor Tim Roughgarden, all the codes are written in C++ and are well commented in order to avoid any kind of ambiguity. This repository will be augmented with more code in future as and when I come across other new concepts in algorithms and data structures stay tuned for that. If one wants to contribute to the repository one can contact me through www.github.com my handle is - ankitsablok89
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This repository consists of projects that were a part of CSE 574 - Introduction To Machine Learning course taught by Dr. Sargur Sri Hari in Fall 2014. Other than the course projects the repository also consists of useful machine learning codes and practices that I employed or will employ in my upcoming projects either commercial or self.
I attended the first ever BigRed//Hacks organized by Cornell University wherein I developed a small scale version of a Hotel Recommendation System integrating several API's such as BandsInTownAPI, Yelp API, Priceline API and Python Google Maps API.
This repository consists of all the Big Data projects coded in all the latest technologies and as a part of University of Washington's online course on Introduction To Data Science taught by Professor Bill Howe on Coursera. All the codes are self written and well documented and credits have been given if in case I had to port somebody else's code in my assignment. To avoid any ambiguities that might arise while understanding I have included comments wherever necessary.
The repository consists of the codes that we wrote as a part of our Fundamentals of Programming Languages class at University at Buffalo, The codes consist of both Java, SML and CML.