Assignment Task

This assignment entails evaluating the predictive capabilities of neural networks and alternative prediction models within the Orange Data Mining Application. Your task is to implement predictive models using software and address a variety of machine learning challenges commonly encountered in business settings. This assessment is weighted at 30 marks (refer to the rubric for mark breakdown).

Description

The emergence of neural networks, particularly in deep learning applications, has revolutionized predictive modelling techniques.

Analytics professionals now have access to basic deep learning functionalities via web browsers and no-code platforms, leveraging cloud-based hardware resources for optimal performance.

For this assessment, you will develop an image classification model using Orange Data Mining`s image analytics toolbox. You will be provided with a dataset comprising images.

Assessment Instructions

1. In-class Implementation: Utilize the Orange data mining software to execute both deep learning-based image classification and traditional predictive analytics tasks.

   • Image Classification: Develop a predictive model using the Image Analytics widgets available in Orange.
   • Tabular Data Analysis using Neural Networks (NN): Construct predictive models using NN and other relevant widgets in Orange.

2. In-class Problem Solving (Puzzle): Based on the output generated from Orange, solve the accompanying puzzles in the assessment sheet. These puzzles are designed to evaluate your understanding of various prediction models and your general knowledge of machine learning principles.