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chidungkt

Nguyen Chi Dung

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Does WOE Transformation Improve Logistic Regression’s Performance?
Monotonic Binning and Data Transformation Based on WOE / IV
My Secret R Codes: Order Is Vital
Workstation Dell Precision T5610, Ubuntu 18 OS, Dual Intel Xeon E5 2680 V2
Course: Data Wrangling and Visualization with R
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
How to Simultaneously Train All 189 Machine Learning Models for Classification Supported by caret
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)
Why Milions of Vietnamese Men Must Be Staying Single (or Forever Alone) in The Future?
Best Global Universities: An Application of Using try() Funtion
Employees Check In Time
Predictions for Daily Cash Withdrawals at ATMs
Population Pyramids of Vietnam from 1995 to 2017
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
Time Series Exploration
Environment and Development
Forecasting Daily Cash Demand: A Short Comparision between Automatic Machine Learning and ARIMA Aprroach (Case 2)
Standardized Data Does Not Enhance Accuracy (in Case of 00002009)
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
One-step Ahead Prediction for Cash Withdrawals (Case 2, Machine Learning / Deep Learning Series)
Missing-data Imputation for Categorical Variables
Conditional Value at Risk (CVaR) for many stocks
Cointegrated Time Series and Augmented Dickey Fuller Test
Test Workstation HP Z420 (Intel Xeon E5 1620 V2)
Holt-Winters’ Seasonal Methods for Forecasting Time Series
Time Series Forecasting by ARIMA and Neural Networks
Job Data from https://viectotnhat.com (Draft Version)
Time Needed to Computing and The Number of CPU Cores (Workstation Dell Precision T5610 with Dual Xeon E5 2680 V0 2.70 GHz)
Time Needed to Computing and The Number of CPU Cores (Workstation Dell Precision T5610, Windown 10 OS)
Time Needed to Computing and The Number of CPU Cores (Workstation Dell Precision T5610 with Dual Xeon E5 2670 V2 2.50 GHz)
Time Needed to Computing and The Number of CPU Cores (HP Workstation ZBook Laptop, Core i7 4800MQ CPU 2.7GHz)
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)
Slop Chart (ggplot2)
Customizing Time and Date Scales (ggplot2)
Best-selling cars in Vietnam, Jan 2018
Beautiful Time Series Graph
Biostatistics for Epidemiology and Public Health Using R (Data Wrangling Section)
Age Distribution of American Boys Named Joseph
Data Visualization (GSO, Part 4)
Data Visualization (GSO, Part 3)
Data Visualization (GSO, Part 2)
Data Visualization (GSO, Part 1)
Bamboo Africa Report
GDP Sector Composition
World Bank Style Graph Using ggplot2 (Area Chart)
Economist Style for Graph (ggplot2)
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)
The Relationship between Market and Stock Return: Evidence from Vietnam Stock Market
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
Epidemiology: Number of AIDS patients by Province in Vietnam
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)
Gradient Boosting Machines for Credit Scoring (Deep Learning Series, h2o package, hmeq.csv)
Turing Parameters for Random Forest (Deep Learning Series, h2o package, hmeq.csv)
Adjusting the Default Classification Threshold Logistic Model and Profit Analysis Based on Monte-Carlo Simulation
Machine Learning Project with German Credit Data (Adapted from Deep Learning for Credit Scoring in the Era of Big Data)
AUC is best?
Feature Engineering/Selection and Turning Parameter for Random Forest (h2o package)
Pour V 26_04
Random Forest - Deep Learning Using h2o package (hmeq.csv)
Deep Learning for Credit Scoring (h2o package)
K-means Clustering for Customer Segmentation
Parameter Tuning (ntree + mtry) for Random Forest when Using caret Package
Simultaneously Comparing Many Machine Learning Models
Feture Selection / Engineering for Machine Learning Models
Deep Neural Networks for Regression
Extracting Links from a Web Page
A Function for Calculating Distance based on Haversine Formula
Regular Expressions (Part 1)
A Draft Reporting about for Apartment Market / Real Estates Market
Daily Income of Sex Workers in Hanoi and Saigon
Location of Real Estate Projects in Hanoi
Some Universities Located in Hanoi
K-means Clustering in Practice
Mean Salary by Occupation and Province
New Themes (ggplot2)
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
Job Report for NGO Recruitment
Florence Nightingale’s Data On Deaths From Various Causes In The Crimean War
Some Functions for CoVaR and Systemic Risk (Part 1)
Mini Projects for Data Wrangling / Visualization (Part 1)
A Function for Creating a New ggpot2 Theme
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
Trả lời Thanh Phu Ngo
Highcharts for Presenting Business Reports by Using highcharter (Part 1)
Scrapping data from http://nongnghiep.vn/
Parallel Computing for Machine Learning Algorithms
R Machine Learning Series: Artificial Neural Network using caret
Professors 2017
R Machine Learning Series: Vector Support Machine using caret
Scraping Text from Web
Deep Learning Project: Predict Customer Churn
ggridges package
Visualizing Pair Correlation
Data Analysis Course at USTH (Section: Statistics, Part 3)
Using R for Biostatistics (USTH Course, Part 2)
VHLSS 2016 Project: Life Quality
R Course for Hanoi and Saigon Class (Data Manipulation / Visualization)
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
Random Forest for Credit Scoring (hmeq.csv)
Scraping Job Information from http://www.ngocentre.org.vn
Beautiful Bar Chart
Porn Data from https://xhamster.com/
Oil Production
Review: ggplot2
From tuanvanle.files.wordpress.com
The number of posts from 2006 to 2017 on https://www.r-bloggers.com/
A Function for collecting financial data from cophieu68
Composition of world's Export in 2016
GFD Project: Geospatial Data for All Provinces
NYC Taxi Data 2013
QuantToolsVN Project (day 4)
QuantToolsVN Project (day 3)
VNDIRECT
Tối đa hóa danh mục đầu tư theo lí thuyết mean-variance của Harry Markowitz áp dụng cho thị trường chứng khoán Việt Nam
Credit Scoring: A Comparison between XGBoost and Logistic (Part 1)
Adjust theme for ggplot2 (Part 4)
Vietnam War: A Preliminary Analysis
Data Analysis Course at USTH (Section: Statistics)
A Function for calculating Correlation using Bootstrap Method
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
An Introduction to Statistical Learning: Chapter 5 (Resampling Methods)
How to determine the size of all objects in the current workspace in R?
Chapter 13: EBE
Turning Support Vector Machine for Regression (Machine Learning in R Series)
Using WOE/IV for selecting variable in Logistic Regression
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)
Using intermediate inputs to control for unobservables in estimating production function in R
A Function for calculating Distance to Default based on contingent claim framework proposed by Merton (1974)
A function for European options proposed by Black and Scholes (1973)
(Econometric Course at VCREME) Chapter 2: The Simple Regression Model
Machine Learning: Parallel computing in R
All Information about US Soldiers died in Vietnam War (Using R for web scraping)
Collecting all information about books published by www.crcpress.com (Using R for Web Scraping)
Number of Students by Field at Harvard ((Using R for Web Scraping)
Accountants and Electricians ((Using R for Web Scraping)
World Heritage Sites in Danger (Using R for Web Scraping)
Machine Learning: XGBoost for credit Scoring
Color Codes used by The Economist
Adjust theme for ggplot2 (Part 3)
Adjust theme for ggplot2 (Part 2)
Adjust theme for ggplot2 (Part 1)
Machine Learning: Support Vector Machines for Credit Scoring
Style your Bar charts like the Business Insider
Number of R packages submitted to CRAN
The Code Book: The Science of Secrecy from Ancient Egypt to Quantum Cryptography
Web Scraping in R
My Random Thought: A comparison of Life Expectancy between Vietnam and Asean2 Countries
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
Chặn tin nhắn rác (Spam) với Bayes ngây thơ
Cuốn Analysis of Financial Time Series và giáo trình Kinh Tê Lượng NEU
Autocorrelation Function (ACF)
SEA Games 29 Gold Medal by Country
European Cities with Large Populations (Using R for Data Visualization)
The most Popular Econometricians
The Global Cities Where Tech Venture Capital Is Concentrated
Choropleth Maps (Part 1)
Churn Rate for X Company
Apply family of functions
Turning Parameters for Random Forest
How to vectorize a for loop in R?
Imputing Missing Data
Machine Learning(Part 1): Random Forest for Credit Scoring
Functional Programming (P2 - Credit Scoring)
For Loop
GAMLSS
Lập trình hàm
John Tukey and Boxplot
The Most popular R packages for Machine Learning
tidyquant - a package for collecting and analyzing financial data
Giới thiệu về khóa học
rChart
Citation Analysis
Bioinformatics
Extracting Data from PDF Form
Exploratory Data Analysis
Getting Data in zipped Forms
NPV and IRR
Panel Data (Part 1)
Số từ sử dụng để viết Principles of Economics
R codes of the day 1
Vị trí của khoa học VN ở đâu trên bản đồ thế giới
Getting Data From IMF with R
Understanding association rules
TT: Pour toi mon amour
A Short Review for TEXT MINING IN PRACTICE WITH R
Why pictures are so important when modeling data?
Why are Nobel Prize winners getting older?
Sales Report with Highcharter (Version 2)
Sales Report with Highcharter (Version 1)
Titanic Kaggle Challenge: Exploratory Data Analysis
2016-2017 College Salary Report
Traffic-related Death Rate in Vietnam
Additional Themes for ggplot2
Deep learning applied to regression problem
Happiness and Social Progress Index
MISSING VALUE IMPUTATIONS WITH RANDOM FOREST
Top 11 algorithms are used for data analysis
Trả lời thắc mắc của thầy Phạm Trí Cao (bài 1)
Biến kiểu factor và character khác nhau ở điểm nào?
Getting data from World Bank
Data Visualization (Highcharter)
Nobel
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 ?
Hồi Quy Phân Vị bằng phần mềm R
Hồi Quy Phân Vị
Anh V (TTC)