rohankarthikeyan's Projects
Materials for the Applied Data Analytics course at CMI, Spring '23
Code scripts for implementing Bjorck-Duff's algorithm.
This repository contains all of my work for the course entitled "Applied data science capstone" offered by IBM on Coursera.
Codes and datasets for the DataCamp course
This contains the code for our paper: Domineering games with minimal number of moves.
Python implementation of mRMR (minimum-Redundancy-Maximum-Relevance) for feature selection.
Perform text modelling and clustering on text from the Proceedings of the Neural Information Processing Systems (NeurIPS).
Predict probability of a potential sale using classifier models on a website analytics data set.
Implements a RL agent to play a One Car version of the popular `2 Cars` mobile game.
Building various models to distinguish between product categories for effective classification.
This is a Collaboratory hands on project on the consolidated learning in the 'Probability and Statistics with R' coursework. Happy Learning !!
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Config files for my GitHub profile.
Some prep materials for the TOEFL test (Special Home Edition, 2020).