Artificial Intelligence and Data Sciences in Real-world Business
A quick rundown of my doctoral research presented at the BA Forum 2023
CK Cafe: Using Association Rules to Find Basket of Goods
In this lab session, I share how to use apriori algorithm for association mining. The goal is to find useful causal and association rules which can help in designing promotions for the company. Plus, you get to see what’s served at an Indian cafe.
A Gentle Introduction to using Support Vector Machines for Classification
Support vector machines (SVM) are remarkable for the unification of geometric theory, elegant mathematics, theoretical guarantees with strong practical use cases. In this blog post, I demonstrate certain properties of SVM and how to use them with caret package in R.
Next — Today I learnt About R
What is Next? A short and sweet curated collection of R-related works. Five stories. Four packages. Three jargons. Two tweets. One Meme. You can subscribe by providing your details here. Promise, no spams. Email address First name (Optional) Last name (Optional) By subscribing, you agree with Revue’s Terms of Service and Privacy Policy. If you are unsure, here are some editions that my readers loved.
Joint Probability-based Dissimilarity Measure for Discrete Variables
A Simple Method to Calculate Distance between Discrete Variable
Number of PhDs by Field
An Incomplete Data Exploration
Score and Fisher’s Information
Intuitive Understanding and Mathematical Notions
Replicating Tennessee STAR Project
Econometrics Course Project
Supervised Learning Using Baysian Decision Rule
Python Functions for Bayesian Learning (COSC 522 Project)
Is COVID-19 Data tampered?
Is there any evidence of tampering or manipulation in COVID-19 daily cases reported by countries? Using Benford analysis in R, I try to reach at some conclusion.
Forecasting Malaria Vaccine Demand
Summary of my research work on forecasting coverage for Malaria vaccines
Sentiment Analysis of Tweets
Using rTweet package in R to analyse live tweets from Twitter
Statistical Modelling and Analysis of the Computer-Simulated Datasets
My first academic publication: a peer-reviewed book chapter on statistical modelling using Gaussian processes. We reviewed several GP models and correlation structures, and methods to handle numerical instabilities due to near-singular matrices. Finally, we reviewed several algorithms developed specifically for analysing big data obtained from computer simulators.