Data Analysis

School of Computing

Module Coordinator Other lecturers 
Date Issued 
CodeCOSREP / M26538
TitleApplied Machine Learning and Data Mining

Schedule and Deliverables

ItemValueFormatDeadlineLate deadline ECF deadline
Coursework  60%One report file (.pdf) A single .zip file containing the python source codes (upload it to your github repository)    
     
     
     

Notes and Advice

  • The Extenuating Circumstances procedure is there to support you if you have had any circumstances (problems) that have been serious or significant enough to prevent you from attending, completing or submitting an assessment on time.
  • ASDAC are available to any students who disclose a disability or require additional support for their academic studies with a good set of resources on the ASDAC moodle site
  • The University takes plagiarism seriously. Please ensure you adhere to the plagiarism guidelines. And watch the video on Plagiarism
  • Any material included in your coursework should be fully cited and referenced in APA 7 format  Detailed advice on referencing is available from the library
  • Any material submitted that does not meet format or submission guidelines, or falls outside of the submission deadline could be subject to a cap on your overall result or disqualification entirely.
  • If you need additional assistance, you can ask your personal tutor, student engagement officer   , academic tutor or your lecturers.

First Submission- Supervised Learning

Task I: Classification using Python

Download the following datasets, which reflect different Machine learning and data mining applications.

Medical:

  1. Medical Data https://www.kaggle.com/dansbecker/hospital-readmissions
  2. Heart attack predication https://www.kaggle.com/imnikhilanand/heart-attack-prediction

Finance:

  1. Banking https://www.kaggle.com/janiobachmann/bank-marketing-dataset
  2. Loan prediction https://www.kaggle.com/ninzaami/loan-predication

Earth and Nature:

  1. Mushroom Classification https://www.kaggle.com/uciml/mushroom-classification
  2. Weather https://www.kaggle.com/jsphyg/weather-dataset-rattle-package/download

Retail:

  1. Online shoppers’ intention https://kaggle.com/roshansharma/online-shoppers-intention
  2. Ecommerce data https://www.kaggle.com/carrie1/ecommerce-data

In addition, select an application of your choice, search for two different datasets using https://www.kaggle.com/datasets

Task:

You are required to apply the following classification techniques using Python on all the datasets.

  1. Decision tree
  2. K-NN (with K taking the value of 1 up to the number of class labels in the dataset).
  3. Naive Bayes
  4. An algorithm of your choice. 

Once you have applied the algorithms on all the datasets, it is required to accomplish the following tasks:

  • Compare the performance of the applied techniques in terms of accuracy.
  • Analyse the results with regards to the dataset properties.
  • You can use data exploratory techniques (visualisation) to explore the dataset and analyse the results.

Task II: Regression using python

Download the following datasets which reflect different Machine learning and data mining applications.

Social networks:

  1. Facebook metrics https://archive.ics.uci.edu/ml/datasets/Facebook+metrics

Medical:

  1. Fertility: https://archive.ics.uci.edu/ml/datasets/Fertility

In addition, select an application of your choice, search for a dataset using https://archive.ics.uci.edu/ml/index.php

Task:

You are required to apply the following on all the datasets using python:

  1. Linear Regression.
  2. An algorithm of your choice.

Once you have applied the algorithm on all the datasets, it is required to accomplish the following tasks:

  • Compare the performance of the applied techniques.
  • Analyse the results with regards to the dataset properties.
  • You can use data exploratory techniques (visualisation) to explore the dataset and analyse the results.

Deliverables of the components of the coursework are:

  • A report documenting Task I and Task II in no more than 1500 words excluding figures and tables. Your report must cover the following areas:
    • A short summary of the machine learning applications and datasets you used and a justification of the chosen datasets.
    • A detailed analysis of your results when comparing the different classification techniques.
    • A detailed analysis of your results when comparing the different regression techniques.

The submission is online through Moodle (the submission details will be available on Moodle).

Please ensure that your coursework is anonymous. Your NAME must not appear anywhere on the coursework or the cover sheet. Please use your ID only

This component of your coursework contributes 60% of the total mark. The marking criteria [in 100% breakup of marks] for this component are as follows:

20%     Justification of choice and the datasets used

20%     Appropriate use of tables and figures when reporting the results

30%     Analysis of the results of the experiments you have conducted

10%     Conclusion with recommendations on how to match a dataset to a technique

10%     Organisation, language style and clarity

10%     Python Code

Research Paper 101
Calculate your paper price
Pages (550 words)
Approximate price: -

Reasons to trust Research Paper 101

On Time Delivery

We pride ourselves in meeting the deadlines of our customers. We take your order, assign a writer but allow some more time for ourselves to edit the paper before delivering to you. You are guaranteed a flawless paper on a timely manner...

24x7 Customer Live Support

Our team at Research Paper 101 is committed to handling your paper according to the specfications and are available 24*7 for communication. Whenever you need a quick help, you can talk to our writers via the system messaging or contact support via live chat and we will deliver your message instantly.

Experienced Subject Experts

Online Experts from Research Paper 101 are qualified both academically and in their experiences. Many are Masters and Phd holders and therefore, are qualified to handle complex assignments that require critical thinking and analyses...

Customer Satisfaction

We offer dissertation papers as per students’ wishes. We also help craft out the best topics and design concept papers. By ordering with us, you are guaranteed of defending and making through those hard faced professors in the defense panel!

100% Plagiarism Free

We at Research Paper 101 take plagiarism as a serious offence. From the start, we train our writers to write all their papers from scratch. We also check if the papers have been cited appropriately. Our website also has a tool designed to check for plagiarism that has been made erroniusly. In essense, the paper you get will be 100% legit...

Affordable Prices

We understand that being a student is very challenging, some students balance between work and studies in order to survive. We therefore offer pocket friendly rates that are very competitive in the market.

Try it now!

Calculate the price of your order

Total price:
$0.00

How it works?

Follow these simple steps to get your paper done

Place your order

Fill in the order form and provide all details of your assignment.

Proceed with the payment

Choose the payment system that suits you most.

Receive the final file

Once your paper is ready, we will email it to you.

Our Services

No need to work on your paper at night. Sleep tight, we will cover your back. We offer all kinds of writing services.

Essays

Essay Writing Service

No matter what kind of academic paper you need and how urgent you need it, you are welcome to choose your academic level and the type of your paper at an affordable price. We take care of all your paper needs and give a 24/7 customer care support system.

Admissions

Admission Essays & Business Writing Help

An admission essay is an essay or other written statement by a candidate, often a potential student enrolling in a college, university, or graduate school. You can be rest assurred that through our service we will write the best admission essay for you.

Reviews

Editing Support

Our academic writers and editors make the necessary changes to your paper so that it is polished. We also format your document by correctly quoting the sources and creating reference lists in the formats APA, Harvard, MLA, Chicago / Turabian.

Reviews

Revision Support

If you think your paper could be improved, you can request a review. In this case, your paper will be checked by the writer or assigned to an editor. You can use this option as many times as you see fit. This is free because we want you to be completely satisfied with the service offered.

error: