Recently Published
Data Science Capstone Project: N-Gram Text Predictor Pitch
5-slide pitch to accompany and explain the Next-Word-Predictor Shiny App. This presentation is part of the final project for the Johns Hopkins Data Science Specialization.
Group 9: Loan Eligibility Prediction and Default Risk
WQD7004 Group Assignment
- Mohammad Iqbal Afif bin Mohamad Shahnaz (U2004720)
- Ahmad Marwan Bin Murshidi (17205900)
- Mawaddah Binti Musthafa (17147301)
- Mohamad Ziqry Bin Zulkifli (S2153309)
- Ahmad Salim Odeh Alsane (23083537)
2_Impute_Missing_Data
for oregon extension project
WQD7004 OCC2 - Group 7 Project
WQD7004 PROGRAMMING FOR DATA SCIENCE
Session 2024/2025 Semester I
Title: Analyzing Customer Spending Behaviour: The role of demographics, purchase type, and loyalty pattern in consumer
WQD7004 Group Assignment-Group 9
Detecting Online Payment Fraud Using Machine Learning Models
Lecturer: Dr. Ang Group 9
| Matric | Full Name |
|----------|----------------|
| 23121328 | Mohammed Iqram |
| 24052516 | LI JUNMING |
| 22106713 | LI YUEXIN |
| 23111676 | LIU YICONG |
| 23108677 | ZHAO ZITONG |
Useful R commands
Here are some useful R commands.
Summmative working progress
Saving to here as Im paranoid that I dont want to lose anything
Predicting Customer Churn in Banking using Machine Learning
Group Assignment for WQD7004