Master of Science in Data Analytics
Final Practicum Projects in 2021

developed by Mandy HP Nguyen

The practicum combines 3 data classification projects performed by R using Machine Learning Algorithms.

<< Full Paper HERE >>

Contents

1. About The Practicum Projects

   1.1. Overview

   1.2. Technology

   1.3. Learning Points & Findings

2. Road Map

3. Analysis Methods

4. Documents

5. Contacts

About The Practicum Projects

3 data sets repository

Overview

Technology

Learning Points & Findings

Road Map

Analysis Methods

• Attribute Analysis: one-dimensional and multi-demensional analysis, correlation matrix, information values
• Data Mining: Ensemble Algorithms (random sampling), Machine Learning Algorithms (Logistic Regression, k-Nearest Neighbor, Neural Networks)
• Industrial Analysis: RFM (Marketing) Analysis, Scorecard (Finance) Analysis
• Evaluation: Confustion Matrix, Accuracy Measures

Documents

This Github repository comprises of 7 project files as follows:

• 3 PDF Files:
  • Analysis Documentation of 3 Projects (FULL ANALYSIS PAPER)
  • R Codes Documentation
  • Final Result Presentation
• 4 R Markdown Files:
  • Case 1 .Rmd File
  • Case 2 .Rmd File (RFM Analysis)
  • Case 2 .Rmd File (ML Analysis)
  • Case 3 .Rmd File

Contacts

• Mandy HP Nguyen - [email protected]
• Linkedin: linkedin.com/in/mandyhpnguyen
• Project Link: github.com/mandyhpnguyen/MS-Data-Analytics-Practicum-Projects