madhasri Goto Github PK

data-viz-ggplot

A tutorial experimenting with different options of tidyverse's ggplot.

geohackweek.github.io

hyde

A brazen two-column theme for Jekyll.

java-practice

k--nearest-neighbor

This repo includes code files to create a binary classifier using K-Nearest Neighbor

lda-web-app

A web application created using Django framework that expects a document as input and runs LDA ( Latent Dirichlet Allocation) to discover different topics from it.

leetcode-problems

leetcode submissions

leetcode-solutions-java

Solutions in Java to different problems on Leetcode

lexical-stress-detection

Deep Learning model for lexical stress detection in spoken English

madhasri.github.io

mandelbrot-parallel-computing

This is a parallel computing project that analyzes and compares the static and dynamic MPI to generate the Mandelbrot set

market-basket-analysis

This repository is to track the market basket analysis on 9835 transactions collected from a supermarket for a 30 day time frame.

mini-tcp-ip-stack

Implemented a mini TCP/IP stack using socket programming

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

pandas_exercises

Practice your pandas skills!

projects

Table of projects with links to waterhackweek project repositories and project instructions.

seattle-crime-viz

sms-text-analysis

This repo contains R code to carry out text processing on data. This includes removal of stopwords, tokenization and document-term matrix. Finally, a wordcloud visualization is created to get an overview of keywords used in spam and ham messages

twitter-trending-topic-classification

In the era of Social Networking, tweeting is the newest trend. About 200 million tweets are being generated every day. Twitter provides a list of the most trending topics; it is often hard to understand what these topics are about. This project is to classify a set of tweets T1,T2,T3,...,Tn into general categories like Sports, Business, Entertainment, Technology, Food and Lifestyle and others. Each tweet can belong to more than one category.

where-to-next

Implementation of multiple recommendation systems using neighborhood model and latent-factor model for the Google Local dataset.