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ahafeez7

Config files for my GitHub profile.

ahafeez7.github.io

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

content

The content behind MDN Web Docs

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

datasciencespecialization.github.io

http://DataScienceSpecialization.github.io

deep-learning-in-keras-tutorial

This is the notebook that goes along with the 'Building Deep Learning Models in Keras' tutorial on Medium.

githubtest2020

got_network_viz_python

Exploring different options to visualize network data in Python (here Game of Thrones network)

healthknowledgegraph

Health knowledge graph for 157 diseases and 491 symptoms, learned from >270,000 patients' data

hello-world

Just another respository

hyde

A brazen two-column theme for Jekyll.

jekyll

:globe_with_meridians: Jekyll is a blog-aware static site generator in Ruby

jekyll-now

Build a Jekyll blog in minutes, without touching the command line.

jekyll-revealjs

A Jekyll-based framework for creating presentations based on Reveal.js and markdown.

jekyll-serif-theme

Serif is a beautiful small business theme for Jekyll.

labs

m1-cpu-benchmarks

for test purpose

matin-workshop

See readme.md for a link to the full guide. For a live demo:

matinwebbranch

Materials Innovation News and Content

mined-gatech.github.io

moon

Moon is a minimal, one column jekyll theme.

musician-app

NodeJS / React sample app for AWS CI/CD pipeline tutorial

ppguide

Host the detailed guide for Project-Pages.

so-simple-theme

A simple and clean responsive Jekyll theme for words and photos.

social-analytics-driven-health-insights

In this project, we leveraged social media data gathered from Reddit for the purpose of tracking the prevalence of public interests and understanding public reaction towards identifying high priority conditions and/or disease states. For this project we Web Scraped the data from reddit by creating our own API using Flask which internally used Pushshift API. We did a high level Text Preprocessing using NLTK library, performed exploratory data analysis by creating a Time-Series Graph with Regression Analysis, Wordcloud, interactive Knowledge Graph for relational Taxonomy, performed Topic modelling using Latent Dirichlet Allocation, Sentiment Analytics using VADER, K-Means Clustering on Sentiment subjectivity and polarity. Thereafter created a Web Application using Streamlit and deployed it to AWS Lamda. This applivation provide potential public health application for early detection of diseases and means of information distribution for proactive response.

test

just a test repo

test_

travelog-theme

Travelog is a theme for Jekyll that is both elegant and downright simple.

udemy-frank

Udemy lectures on data science & machine learning; Sundog Education by Frank Kane