Consulting problem-solver | Ex-Oracle | MNNIT '16 | Competitive Puzzler

github

Anubhav Balodhi • Peerlist

I've been learning Angular for about a couple of months.

koNeeya 

WEKA is a machine learning tool in Java, which provides inbuilt algorithms for data analysis.
We used two data sets: Iris dataset, Twenty newsgroups.
We had to run classifiers like
	 1. Naive Bayesian, Multinomial Naive Bayesian for small data sets of Iris;
	 2. j48 for Iris decision trees.
	 3. Support Vector Machine in form of SMO.
For Twenty Newsgroup we had to use above classifiers, and after that, used K means for clustering.
We studied algorithms, gained practical knowledge of data mining.
It was a project done under our mentor A. K. Singh sir of CSED, MNNIT Allahabad.


Data mining and analysis with WEKA

made a game in PyGame library of Python 3.3.4 to get acquainted with the process of Game development. 

Oyram, a PyGame project

A Sudoku constructor which generates classic Sudokus having single solution with 3 type of symmetry so that they appear to be hand-crafted (at least to the top solvers of the world)

sudo-ku

We developed a system for visualization of data. 

For this, medical data was taken from the dispensary of our college and data was visualized, since there were issues with privacy, we had to move on.

Another use case was the placement data from the TPO(Training and Placements Office) of college and used it to gather relevant insights about placements to help the placements team.