CETM72: Implementation and report Data Science Principles - IT Computer Science Assignment Help

Assignment Task

Your Task

This Assignment Requires R Coding And A Short Report

Your task is to conduct data analysis on a given data set from the UCI site. To help you in this task please look over our past RStudio activities where we loaded in data, pre-processed it, trained machine learning algorithms on the data and plotted the results.

The first part of the report is simply text describing the introduction, application area and data to be used, machine learning algorithms to be used.

What I expect to see for the practical implementation part of the report are screenshots of your code in the RStudio script editor. Screenshots of key outputs and screenshots of important diagrams. Along with text to describe what I’m seeing and identify any salient points. The presentation of your practical work should be identical to the way I’ve presented the Activities in R over the last seven weeks. You need to use snipping tool in Windows or similar to grab screenshots of selected areas.

Introduction

Your introduction should include a summary of the main points that you will discuss in your report. Your report should outline the area your data is from and what you hope to achieve. Your introduction should be about words in length.

Data used

The purpose of this section is to ensure you understand the types of data and the pre-processing you will use. What types of variables are present such as: integer, dates, strings, etc. Provide literature and examples associated with your data set. This section should be approximately 150 words.

Machine learning methods used

In this section you should identify the machine learning methods that you will apply to the UCI data. What criteria will be used to measure the success of the machine learning methods. This section should be approximately 150 words.

Practical: Pre-processing of data

In this section you should discuss how the data was read in, what pre-processing if any occurred and why you did it. Show me screen shots of code with your text write up. This section should be no more than 150 words in length.

Practical: R Programming content

In this section you should show me screen shots of code with your text write up. The R programming content can include building your machine learning models, testing of models, perhaps you have done a compare/contrast with several models. I would also like to see an R function written by you. The source code should be neat and tidy, use comments where necessary to explain the main actions of your code. This section should be no more than words in length.

Practical: Display of data/results

This section you should use screenshots of key R output, important diagrams and anything to do with your machine learning models. Along with text descriptions of the outputs. It should be no more than 300 words in length.

Source code listing

This includes all your R code including the library commands. I expect to be able to load in the libraries you have used and copy and paste and run your analysis.

Conclusions

In this section you should summarise your experimental results and findings. This section should be approximately words.

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