Name: Adeola
Type: User
Company: University of Arkansas at Little Rock
Bio:
Second year MS Student in Information Science at the University of Arkansas at Little Rock, passionate about solving business challenges through data.
Twitter: deesport
Location: Little Rock, USA
Adeola's Projects
Adeola Adesoba's README
This is a Web application deployed on Heroku to generate Movie Bar-code by inserting a YouTube Video Url and Video ID.
Exploring PyCaret for a Classification Problem
Docker Linux Containers 101 Workshop
Initial data preparation and pre-processing of Lending Club data
This repository contains the practice labs for GADS Phase2
Meshery's support for wrk2
The Service Mesh Community - characterizing and contrasting service mesh projects and related technologies.
Layer5 Istio adapter
This repository is used as the boilerplate for consistency across all Layer5 repos.
Leaderboard Project for NITRR hackfest
User documentation for the Mautic project
Meshery, the service mesh management plane
Meshery adapter for AWS App Mesh
Meshery adapter for Citrix Service Mesh
Meshery adapter for Linkerd
Meshery adapter for Maesh
Meshery adapter for Octarine
The multi-service mesh operator.
Generate unique barcode for each video from YouTube
This project was for a competiion organized by Women in Data Science (WiDS) Stanford University. I and two other ladies worked together and we came top 38% out of 203 teams.
Operation Code's Official Slackbot
Systers Portal for communities
Here is a list of best resources to get you started with learning how to code (mostly related to Web Development). Feel free to add your favorite resources as well and help others in their journey of learning.
This project predicted the sentiment analysis of tweets on #COVID19 using location and radius/mile Twitter and also measures the polarity of sentiments. Interactive shiny app can be found here: https://adeola-adesoba.shinyapps.io/sentiment-analysis/
Download EEO-1 reports from Silicon Valley tech companies. Compiled by Reveal from The Center for Investigative Reporting