Key Topics

Machine Learning

• Introduction to the web-based dashboard
• Creating the machine learning model for clustering using the below algorithms
  • K-means algorithm
  • DBSCAN algorithm

Development Summary

What is Machine Learning

Machine learning is a field of artificial intelligent (AI) where computer learn from data over time for classification, prediction or clustering etc. Machine learning is used in various technologies like voice assistance, social media algorithm, recommendations in Netflix, and even in self-driving cars.

Introduction to the Web-based dashboard.

The Machine Learning team develops a machine learning-based clustering model to clustering the users of VR app in to multiple clusters depending on their characteristics. In this process, students will not only learn data collection, data cleaning, data transformation, and data visualization but also delve into machine learning algorithms and models to understand how people perceive interactions with AI compared to interactions with humans. Finally, the team goals is to make the web-base dashboard to see the result of analysis.

K-means algorithm

Clustering techniques are used to group similar data points based on specific characteristics. The K-means algorithm is one of the most popular methods for clustering data effectively. We first implement the model for clustering using the dependent variable of our dataset.