- BST851 Business Data Analytics Assessment Coursework 2026
- MMM143 International Business and the World Economy Coursework 2026
- EMS402U Engineering Design Coursework Project Report 2026 | QMUL
- 25BSC565 Fundamentals of Strategic Management Coursework Brief
- MARK5025 Contemporary Marketing Communications Assessment Coursework Brief 2
- GEEN1127 Design and Materials Individual Coursework Brief 2025-2026 | UOG
- BPS319 PBL 3 Natural Product Chemistry vs Kinetic Isotope Effects Coursework | UOL
- LD7098 Cyber Security Principles Coursework Assessment 2025-26 | Northumbria University
- EG7004 Soil Structure Engineering Assignment 1 Coursework Semester A 2025/26 | University of East London (UOEL)
- BSC127 Information and Knowledge Management Individual Coursework | Loughborough University
- CI5250 Computing Systems Assignment – Networking Design Coursework | Kingston University
- Critical Literature Review Assignment 001 Coursework | Harvard University
- AFE_5_TAP Taxation Practice Assignment Coursework | London South Bank University
- EEEE3083 Power Electronic Aplications and Control Assessment Coursework 1 Individual Report | University of Nottingham
- 7BUIS008W Data Mining & Machine Learning Individual Coursework
- DFI4002 Introduction to Finance Assessment Essay Coursework – Arden University
- CPD Planned Learning Form – Overseas Pharmacists Assessment Programme (OSPAP) Coursework
- CMP-L0170 Level 7 Computer and Operating Systems Assessment Coursework portfolio
- IF1201 Assignment: Developing Financial and Utility Tools Using VBA in Excel
- MA12009 Exploratory Data and Statistical Analysis of Airbnb and Spotify Datasets
CS3DS19: Construct a KNIME workflow to understand the data characteristics and quality, report: Data Science Algorithms and Tools Course Work, UOW, UK
| University | University of Warwick (UOW) |
| Subject | CS3DS19: Data Science Algorithms and Tools Course Work |
Task 1: Data Understanding and Preprocessing (30%)
Construct a KNIME workflow to understand the data characteristics and quality, report and discuss your findings. Based on the data understanding, identify and discuss the required data preprocessing steps, and perform them in the KNIME workflow. Also visualize the data before clustering, with colors showing the class labels.
Task 2: Clustering (30%)
Next, add to or construct another KNIME workflow to build clustering model(s) for the dataset. You can use any clustering algorithm(s). In the report, discuss and justify your selection of algorithm(s) and parameters. You may use experiments to support your discussions and justifications. Also visualize the clustered data, with colors showing the cluster labels.
Task 3: Cluster Validity (20%)
Then, add to the KNIME workflow to evaluate your clustering results with appropriate cluster validity measures. In the report, discuss and justify your selection of measures, present and discuss the results.
Do You Need Assignment of This Question
Looking for top-tier academic support? Explore our specialized online assignment help and coursework writing service UK for CS3DS19 Data Science Algorithms and Tools Course Work. Tailored for UK students, our services provide personalized guidance to excel in your coursework. Unlock your academic potential today,
Answer
