Evaluation

Evaluation

To understand the key principles and theory behind machine learning and its applications

Research through various articles, papers and journals was carried out to understand about the theory and principles of machine learning and analyzed how it can be implemented in decision support for recommendation model. The theory and principle are mentioned in their respective tabs theory and principles.

To learn about decision tree algorithm

I have gone through several online resources like research articles, blogs, paper, Youtube videos to understand the process and steps in decision tree. As evidenced the basic concept of decision tree with its techniques and components are described in the theory tab.

To gain knowledge of the python programming language and the Jupyter environment for the data science projects

I had some basic knowledge of python so for the better understanding of python and Jupyter regarding machine learning I watched youtube videos and read some useful articles

To cohere with the guidelines provided by The British college and Leeds Beckett university

The project I have chosen is based on the guideline provided by The British College and Leeds Beckett university. Tutor advice was also be taken into consideration to meet the product standard.

 To demonstrate the skills learned by creating a predicting application using python and machine learning algorithm

The final model has been demonstrated in the tab Final Model and the outcome will also be demonstrated during presentation.

• Future recommendations

The model can be made more efficient and accurate by providing large amount of data for training and testing and incorporate more reliable algorithms from machine learning.