Machine Learning Modelling of Personality Traits
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Project scope
Categories
Data visualization Data analysis Website development Software developmentSkills
relational databases microsoft visual studio .net framework instant messaging machine learning algorithms sql (programming language) c# (programming language) machine learning web pages extrovertedPositions available: one to two students
The project’s goal is to create an initial framework for a Machine Learning project which will be used in finding patterns and making predictions about personality traits of people who apply for certain types of jobs. The question we want to ask: are there relationships between personality traits and people who apply for certain types of occupations? For example, do extroverted people gravitate towards people-facing occupations more often than introverts? Do anxious people gravitate towards certain types of jobs?
In this project the student will help Maxus lay the foundations for a ML application which will be used in answering these questions.
STUDENT TASKS
- Setup project on GitHub
- Work with mentor to design a ASP.Netcore/C# webpage to use in evaluating Machine Learning algorithms with respect to our project goals. Enhance existing webpages to help users visualize data from a graph database.
- Written report on the pros and cons of the selected ML toolsets and especially the challenges within the early stages of the learning curve.
- The ideal candidate will have basic understanding and interest in relational databases, Visual Studio, C#, SQL, .Net, Machine Learning/AI concepts, webpage design using ASP.Net.
COMMUNICATION
We will communicate with the student using emails, phone, video, and instant messaging.
Up to 4 hrs/week of regular interactions via video, email, phone, instant messaging. Will work closely with student to ensure project success.
About the company
Maxus is a Vancouver-based IT consultancy specializing in software development projects with a focus on serving small businesses who need quick and effective implementations of IT solutions. Our clients are diverse and so is our experience: manufacturing, human resources, tourism, forestry, telecommunications, just to name a few.
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