RPubs will retire in June 2027. Your existing documents will stay accessible through December 31, 2031
and Connect Cloud is the recommended home for new publishing. Read the blog post

Recently Published

Fake and Real News Prediction using XGBoost and GLM model
Our study is guided by two main objectives: 1. `To identify common linguistic, stylistic or structural patterns in differentiating real and fake news articles.` We analyze word usage, bigram patterns, and readability scores to uncover how fake news differs from real news in language style, structure, and complexity. For instance, fake news may use more media-related terms or web-like formatting, while real news emphasizes verified sources and geographic references. 2. `To classify whether a news article is fake or real based on its content and title.` Using machine learning models (GLMNet and XGBoost), we train classifiers on textual features from the content and titles. The goal is to develop a predictive model capable of accurately labeling unseen articles as real or fake, based on learned patterns in the dataset.
FP_VDE_034
Final Project VDE Dataset: AI Content Impact in Global Industries
AI Impact Analysis: Ketika Mesin Mulai "Ngantor" Bareng Manusia
Apakah AI membawa keberkahan atau ancaman? Dalam laporan ini, kami eksplorasi dataset Global AI Content Impact untuk menjawab tiga pertanyaan besar: 1. Bagaimana AI berdampak pada kehidupan sosial dan kolaborasi manusia? 2. Apakah AI benar-benar meningkatkan pendapatan industri? 3. Siapa sebenarnya yang paling "terjamah" AI: manusia, mesin, atau dompet? Kami gunakan visualisasi interaktif, deteksi outlier, hingga eksplorasi penggunaan AI Tools di berbagai sektor industri—tentu dengan bumbu insight dan sedikit humor. AI bukan untuk ditakuti, tapi diajak kerja bareng. Cek analisis kami untuk tahu kenapa!
WQD7004 Group 2 - Pakistan's Largest Ecommerce Dataset
Group Members: Bryan Chak Yen Hou (24078819) Raynaldo Franciscus (24073666) Dhanasree Seelam (23077229) Muhamad Danial bin Khalid (24079013)
Tugas Besar VDE-Kelompok 9
Source: https://www.kaggle.com/datasets/nelgiriyewithana/billionaires-statistics-dataset
Tugas Besar VDE_Billionaire_Kelompok 9
Menganalisis data Billionaire yang mengambil dari Kaggle untuk mencari tahu faktor-faktor apa saja yang melatarbelakangi kekayaan seseorang.
Final Project VDE
Final Project VDE
Kelompok 6 - Elena Miska 5052241022 - Alycia Zada 5052241034 - Inessa Regina Angelica Munda 5052241037
Group 12 - Analysis on Melbourne Housing Market
By Group 12: Golden Wong (24076385) Moy Jia Qin (24085411) Yu JiaoJiao (24071033) Zhuang ShuQi (23105789) Vishnuvartini A/P Rasaya (U2004749)   Stephanie Nina Menggu (24075502)
Storm data analysis
Brief analysis to examine severe weather events across the United States to identify which event types pose the greatest threats to population health and economic stability.
Final Project VDE
Final Project VDE using Global AI Job Market Dataset