tungphamduy Goto Github PK
Name: Tùng Phạm
Type: User
Company: University of Economics and Law
Bio: an enthusiast for data analysis
Location: HCMC, Vietnam
Name: Tùng Phạm
Type: User
Company: University of Economics and Law
Bio: an enthusiast for data analysis
Location: HCMC, Vietnam
Ứng dụng cho phép người dung chọn mẫu hình mà mình muốn phân tích trong số các mẫu hình đồ thị nến Nhật Bản, quét và nhận dạng các mẫu hình đó xuất hiện trong tất cả chỉ số giá cổ phiếu của các công ty S&P500 trong thời gian ngày thứ N-1 và đưa ra kết quả dự đoán xu hướng trong ngày hiện tại (N).
This project aims to analyze and assess the determinants of debt maturity structure for CMC JSC, both pre and post the COVID-19 era. By examining and interpreting the factors that significantly influence the firm's debt maturity profile, this project sheds light on the debt management in CMC's operations.
This project aims to forecast sales for Rossman's 3,000 drug stores in 7 European countries for the next 6 weeks. Using time series analysis, insights can be revealed to better understand the situation. The dataset is a time series, with data collected at even intervals and ordered chronologically.
Explore Home Credit's default risk data using EDA and a Baseline Machine Learning models. Help predict future payment problems for clients, ensuring a positive borrowing experience and empowering financial inclusion
Store personal media for signature, CV or else
Đề tài này sẽ sử dụng nhiều mô hình khác nhau để dự báo giá đóng cửa điều chỉnh cho dữ liệu giá cổ phiếu của Tập đoàn Microsoft. Các mô hình bao gồm đường trung bình động, hồi quy tuyến tính, k-Nearest Neighbor, Prophet và LSTM. Các phương pháp này sẽ được ứng dụng lần lượt và so sánh kết quả để tìm ra mô hình mang lại hiệu quả tối ưu nhất.
The Python project written on Jupyter includes technical analysis using various indicators, developing trading strategies based on the indicators, visualizing the outcomes, and testing the strategies. The indicators applied in the project are Simple Moving Average 200, Bollinger Bands, and RSI - Relative Strength Index.
This paper explores the importance of data analysis and visualization in data-driven decision making, and how Power BI can aid in this process. Using descriptive analysis methodology, it presents a case study of using Power BI to analyze business data from the Retail sample database of Microsoft.
This project analyzes the relationship between ROA, firm size, and trade credit in Vietnam using a dataset of 752 companies. It includes EDA, regression modeling, and tests for multicollinearity and heteroskedasticity to investigate the impact of ROA and firm size on receivables and draw meaningful conclusions from the analysis.
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