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chidungkt

Nguyen Chi Dung

Recently Published

Hanoi Housing Market: Predict Home Price
A Draft Report on Hanoi Real Estate Market - Homes for Sale Segmentation
Spam Detection Using Random Forest Algorithm
Share of Government Spending on Health Care: Vietnam and United States
Portfolio Theory: Estimate Beta for All Companies Listed on Ho Chi Minh Stock Exchange (HOSE)
wbstats - R Package for Collecting Data From World Bank
Quantile Regression Using R
Course: Data Wrangling and Visualization with R
Replicate a The Economist Style Graph (Area Chart)
Mapping Vietnam Provincial Competitiveness Index 2018
Population Structure of Vietnam: 1995 - 2018
Scraping Data from VNDIRECT Securities Corporation
Reodering for Grouped Barplot
Kaggle Data Science Survey (Median Salary by Major)
Mini Course: Collect Data for 78704 Homes for Sale in Hanoi
US Military Fatal Casualties During the Vietnam War
Using Accuracy Criterion for Credit Classification Can Cause Disaster for Banks
R for Psychologists and Marketing Research: Structural Equation Modeling (SEM)
Visualization of Classifier Performance
Population Pyramid Graph for Vietnam in 2018
Kaggle Data Science Survey (Hardware Using for Data Science Projects)
Kaggle Data Science Survey (Compensation and Degree)
Kaggle Data Science Survey (Data Wrangling May Be The Most Time-Consuming)
Kaggle Data Science Survey (Most Used ML Models)
Kaggle Data Science Survey
Effect of AUC on Sensitivity and Specificity by Machine Learning Model
Top Seven Trade Partners of Vietnam by Export Volume
IFRS 9 and CECL Credit Risk Modelling (Chapter 3, Part 1)
Time Series Forecasting Project
China is Redrawing the Map of World Science
Worst Airlines by Flight Delays/Cancellations in Vietnam
World Nuclear Power Report 2018
A Detailed Comparison Between Machine Learning and Logistic Approach to Scorecard Modelling/Credit Scoring
The Problem of Monotonic Binning when Developing Scorecard Model
IFRS 9 and CECL Credit Risk Modelling and Validation (Chapter 2)
Does Balancing Classes Improve Classifier Performance?
Never Argue with Stupid People
Age Distribution of American Boys Named Joseph
Why Milions of Vietnamese Men Must Be Staying Single in The Future?
Deep Learning for Credit Scoring in the Era of Big Data (Adapted from a research conducted by MIS, Banking Academy of Vietnam)
China–United States Trade War: Facts and Figures
Consequences of WOE Binning for Logistic Regression
Perform Logistic Regression with R
Cumulative Accuracy Profile (CAP) and Accuracy Ratio (AR) Estimation
Does WOE Transformation Improve Logistic Regression’s Performance?
My Secret R Codes: Order Is Vital
Collect Population Data by Commune Level for Vietnam
A Naive Approach to Ranking Vietnam Universities
When You Need Explanation: Decision Tree Algorithms (CART and CHAID)
Lasso and Ridge Logistic (h2o Package)
My Secret Codes: Logistic vs Support Vector Machine (kernlab Package)
Ensemble Learning Methods: What Are They and Why Use Them?
Use Autoencoder as a Feature Engineering Technique
Training and Turning Parameters for Random Forest Using h2o Package
Detecting Financial Fraud Using Machine Learning: War Against Imbalanced Data
Measuring Model Performance in Classification Models: A Short Explanation About Confusion Matrix and Its Application
Number of Cancer Patients by Top 20 Country, 2017
Cancer Prevalence Across All Types by Country in 2016
Problem of Low Default Portfolios (LDPs) in Credit Scoring and Modelling Scorecard
Greying of the Nobel laureates
An Application of Credit Scoring: Developing Scorecard Model for A Vietnam Commercial Bank
Feature Selection for Logistic Classifier based on AIC Criterion
Missing-data Imputation and Use map() Function for Comparing among Alternatives (diabetes.csv)
Feature Engineering for Machine Learning: A Comparision among Some Methods (diabetes.csv)
Best Global Universities: An Application of Using try() Funtion
Employees Check In Time
Predictions for Daily Cash Withdrawals at ATMs
Gender Pay Gap from BBC News
Happy Vietnam Women’s Day
Forecasting Time Series: Auto ARIMA, Ensemble Method and Artificial Neural Networks
Forecasting Daily Cash Demand: Long Short Term Memory vs ARIMA Aprroach
Environment and Development
Forecasting Daily Cash Demand: A Short Comparision between Automatic Machine Learning and ARIMA Aprroach (Case 1)
One-step Ahead Prediction for Cash Withdrawals: Comparing Three Approaches to Forecasting
Logistic Model vs Gradient Boosted Machine and Automatic Machine Learning Approach
Use Autoencoders for Detecting Fraudulent Credit Transactions
Missing-data Imputation for Categorical Variables
Cointegrated Time Series and Augmented Dickey Fuller Test
Holt-Winters’ Seasonal Methods for Forecasting Time Series
Using R Markdown for Reporting: Template 2
Using R Markdown for Reporting: Template 1
Colour Gradient and Theme (ggplot2)
Double Plots with Two Axes Using ggplot2
geom_ribbon()
Dữ liệu điểm thi tốt nghiệp THPT năm 2018
Threshold of Profit Optimization when Using some Machine Learning Models for Credit Scoring (hmeq.csv)
Customizing Time and Date Scales (ggplot2)
Beautiful Time Series Graph
Data Visualization (GSO, Part 4)
Data Visualization (GSO, Part 3)
Data Visualization (GSO, Part 2)
Data Visualization (GSO, Part 1)
GDP Sector Composition
World Bank Style Graph Using ggplot2 (Area Chart)
Nice Bar Graph from Data Visualisation with R: 100 Examples
World Bank Style Graph Using ggplot2 (Lollipop Chart)
Use Favorite Fonts in R
Annotating Text for Individual Facets (ggplot2)
Lollipop Chart
Predict Exactly for All Malignant Cancer Cases by Using Machine Learning (Breast Cancer Wisconsin)
Optimal Threshold for Random Forest Classifier (hmeq.csv)
Turning Parameters (mtry and ntree) for Random Forest
For Loop vs sapply() and map() function
Forecasting Time Series Water Levels on Mekong River using Machine Learning Models
Estimation of Regionally Disaggregated Indicators Using Small Area Estimation Method
Using Colours (viridis package)
Mapping Poverty Rate for Vietnam and Population Density for Nghe An by District
Some Functions for Collecting Spatial Data and Calculating Distance
Some Functions for Collecting Spatial Data and Calculating Distance
Choropleth Maps and Mapping (Part 1)
Credit Scoring: A Comparison between XGBoost and Logistic Based on Monte Carlo Profit Simulation (hmeq.csv)
Feature Engineering/Selection and Turning Parameter for Random Forest (h2o package)
K-means Clustering for Customer Segmentation
Parameter Tuning (ntree + mtry) for Random Forest when Using caret Package
Feture Selection / Engineering for Machine Learning Models
A Function for Calculating Distance based on Haversine Formula
Daily Income of Sex Workers in Hanoi and Saigon
Location of Real Estate Projects in Hanoi
Some Universities Located in Hanoi
NGO Jobs (30_03)
Mini Projects for Data Wrangling / Visualization (Part 2)
Keras Deep Learning for Credit Scoring (Part 2)
Keras Deep Learning for Credit Scoring
Florence Nightingale’s Data On Deaths From Various Causes In The Crimean War
A Big Project for Data Science in Banking Course (Part 2)
Approach in Machine Learning and caret Package
Steps for Implementing a Machine Learning Project
A Big Project for Data Science in Banking Course (Part 1)
R Course: Data Analytics in Banking for Bankers
Parallel Computing for Machine Learning Algorithms
Professors 2017
Data Analysis Course at USTH (Section: Statistics, Part 3)
Using R for Biostatistics (USTH Course, Part 2)
VHLSS 2016 Project: Life Quality
VHLSS 2016 Project (Data Provided by NA Brother)
Loại bỏ Outliers theo Cook’s Distance hoặc nằm ngoài 2 lần độ lệch chuẩn so với mean của phần dư
Regression Line with Error Distances
Composition of world's Export in 2016
GFD Project: Geospatial Data for All Provinces
Tối đa hóa danh mục đầu tư theo lí thuyết mean-variance của Harry Markowitz áp dụng cho thị trường chứng khoán Việt Nam
Predict and Analyze Customer Churn using Survival Analysis (R Project, Week 1)
Getting Geospatial data for Spratly Islands
GFD Project: Geospatial Data for Khanh Hoa Province
Chapter 13: EBE
Turning Support Vector Machine for Regression (Machine Learning in R Series)
Principal Component Analysis (Principal Component Methods in R)
Chapter 4: K-Means Clustering (Cluster Analysis in R)
Chapter 3: Clustering Distance Measures (Cluster Analysis in R)
Information Value and Weight of Evidence (WoE)
A Function for calculating Distance to Default based on contingent claim framework proposed by Merton (1974)
(Econometric Course at VCREME) Chapter 2: The Simple Regression Model
Machine Learning: Parallel computing in R
Adjust theme for ggplot2 (Part 1)
Style your Bar charts like the Business Insider
The Code Book: The Science of Secrecy from Ancient Egypt to Quantum Cryptography
Citation Analysis 2
Machine Learning: Ridge Regression from An Introduction to Statistical Learning, Chapter 6
Text Mining: The number of English words used for Basic Econometrics by Gujarati
Marketing Research with SPSS (Chapter 5, Part 1)
Machine Learning (Section 1): Linear Regression and Its Cousins - Ridge Regression
Cuốn Analysis of Financial Time Series và giáo trình Kinh Tê Lượng NEU
The most Popular Econometricians
Choropleth Maps (Part 1)
Churn Rate for X Company
Apply family of functions
How to vectorize a for loop in R?
Imputing Missing Data
Functional Programming (P2 - Credit Scoring)
GAMLSS
Lập trình hàm
John Tukey and Boxplot
Getting Data in zipped Forms
NPV and IRR
Số từ sử dụng để viết Principles of Economics
R codes of the day 1
Getting Data From IMF with R
Understanding association rules
TT: Pour toi mon amour
Why are Nobel Prize winners getting older?
Sales Report with Highcharter (Version 2)
Sales Report with Highcharter (Version 1)
Data Visualization (Highcharter)
Tham Nhũng
Data Transformation/Cleaning with PISA data set (Part 2)
Tại sao Việt Nam nghèo mà giỏi? Tại sao nữ ngày càng học kém so với nam ?