IS403.O22.HTCL - Data Analysis in Business

https://github.com/chanhlm/IS403_O22_HTCL_5

• Lecturer: Assoc. Prof. Ph.D Nguyen Dinh Thuan
• Instructor: Mr. Nguyen Minh Nhut

Team Information - Team 5

No.	Student ID	Full Name
1	21521882	Le Minh Chanh (Leader)
2	21520596	Tran Thi Kim Anh
3	21521449	Phi Quang Thanh

Project Information

• Project Title: Forecasting stock prices of Vietnamese real estate companies: A comparative analysis of statistical, machine learning, and deep learning techniques
• Datasets: Investing
  • VHM - Vinhomes JSC
  • NVL - No Va Land Investment Group Corp
  • NLG - Nam Long Investment Corp
• Algorithms: Linear Regression, Support Vector Machine (SVM), ARIMA, Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Recurrent Neural Network (RNN), Holt-Winters, Multi-layer Perceptron (MLP)

Work Distribution

1. Week 1 - Collecting Data: All members
2. Week 2 - Abstract, Introduction, Ralated Work, Meterial:
   • Tran Thi Kim Anh: Abstract, Introduction
   • Le Minh Chanh: Related Work
   • Phi Quang Thanh: Material
3. Week 3 - Stats Model:
   • Tran Thi Kim Anh: Holt-Winters, Linear Regression
   • Le Minh Chanh: ARIMA
4. Week 4 - Machine Learning Model:
   • Le Minh Chanh: Support Vector Machine (kernel <> rbf)
5. Week 5 - Deep Learning Model:
   • Tran Thi Kim Anh: LSTM
   • Phi Quang Thanh: GRU, RNN, MLP
6. Week 6 - Evaluation and predict 30 days: All members with their models
7. Week 7 - Evaluation and predct 60, 90 days: All members with their models
8. Week 8 - Final Report: All members
   --The end--