Omdena Chapter Page: North Carolina, USA

Omdena North Carolina USA Chapter - Omdena Chapters 
Welcome to North Carolina, USA Local Chapter!

Upcoming Challenges

Project Starts 
25th July 2022

Apply here
North Carolina, USA Chapter – Correlations between multiple databases, County Average income and Employed Bus riders in Winston-Salem, NC.

The Background

Forsyth Tech is a county with extreme economic inequality, while the western side of the town is rather wealthy, the eastern side of town is plagued with poverty, low income housing, an lack of economic opportunity. The center of Economic Mobility has been collecting data for many years on Forsyth County, NC. We will attempt to gain access to these data-sets to gain some insights into causal relationships between data-sets. 

 

The Problem

Using multiple data-sets, the project will attempt to make a data-correlations between the  boom and bust cycles in the Piedmont Triad and employed and unemployed Bus riders in  Winston-Salem, NC. We will see multiple points of time series data and will attempt to cross inference multiple data-sets to determine cause and effect factors or find a model that can  find a guiding equation between both data-sets. 

 

The Project Goals

Part 1: 

  1. Prepare both data sets and visualize the time series 
  2. Make a DAG representing the I/O of both data sets and how they fit together Part 2: 
  3. Attempt to make a prediction about the future of public transportation ridership in the county. 2. Publish a medium-length paper about ridership, employment, and average income R coefficients.

 

The Learning Outcomes

Part I 

  1. Data Collection
  2. Data Pre-processing 
  3. Exploratory-Data Analysis 

Part II 

  1. Modeling 
  2. Model Deployment into possible API 
  3. Visualisation and Publication 

 

 

The Tasks & Timeline

Week 1Week 2Week 3Week 4Week 5 
Data Collection (pre-week 1 even) 

Data Pre-Processing 

Data Pre-Processing 

Exploratory Data  Analysis 

Modeling 

Modelling (cont) Modelling(Visualization) 

 

  
      
      

Project Starts 
26th September 2022

Apply here
Correlations between multiple databases, County Average income and Employed Bus riders in Winston-Salem, NC (Phase II):

The Background

Forsyth Tech is a county with extreme economic inequality, while the western side of the town is rather wealthy, the eastern side of town is plagued with poverty, low-income housing, and a lack of economic opportunity. The center of Economic Mobility has been collecting data for many years on Forsyth County, NC. We will attempt to gain access to these data sets to gain some insights into causal relationships between data sets.

 

The Problem

Using multiple data sets, the project will attempt to make a data-correlations between the boom and bust cycles in the Piedmont Triad and employed and unemployed Bus riders in  Winston-Salem, NC. We will see multiple points of time series data and will attempt to cross inference multiple data-sets to determine cause and effect factors or find a model that can find a guiding equation between both data-sets.

 

The Project Goals

Part 1: 

  1. Prepare both data sets and visualize the time series 
  2. Make a DAG representing the I/O of both data sets and how they fit together Part 2: 
  3. Attempt to make a prediction about the future of public transportation ridership in the county. 2. Publish a medium-length paper about ridership, employment, and average income R coefficients.

Part 2: 

  1. Attempt to make a prediction about the future of public transportation ridership in the county. 
  2. Publish a medium-length paper about ridership, employment, and average income R coefficients.

 

The Learning Outcomes

Part I 

  1. Data Collection
  2. Data Pre-processing 
  3. Exploratory-Data Analysis 

Part II 

  1. Modeling 
  2. Model Deployment into possible API 
  3. Visualisation and Publication 

 

 

The Tasks & Timeline

Week 1Week 2Week 3Week 4  
Modelling Prediction

 

Visualization and  

publication

 

Publication Wrap Up

Visualization 

 

  
      
      
Linkedin Page
 
North Carolina Chapter Lead

Aaron Linder

Hello, I am an aspiring machine learning scientist: I have been studying for many years, and I am excited about the opportunities to serve others and the community in my discpline. Looking forward, it’s important to help people of all levels in their career gain professional experience, as well as produce useful products that assist the community. I have about 9 years of work experience outside tech in sales, tech service, and product development.