Here I share my…

• previous works and projects
• programming tips (R, python, SAS and SQL)
• learning of statistics and machine learning
• thoughts about data science

[Resume] [Github repos]

Projects

ETL and EDA

• Horseshoe Crab: An Exploratory Data Analysis
• Movie Database API Query
• Summarize Student and World Development Data (Python)
• SQL Queries on MLB Database (Python)
• Northwind Salesmen Database: Sale Data Analysis (Python)
• NFL: Pandas on Spark (Python)
• Spark Data Streaming (Python)

Statistical Inference

• Parallel Computing: Monte Carlo Study for t-test
• Chi Square Test for Homogeneity: Likelihood Ratio Test vs. Monte Carlo Simulation
• Monte Carlo Simulation Study for Estimators and CI Performance
• Estimate Variances of Model Parameters Using Perturbed SSE Curve Fitting (PSCF) Method
• NFL: MapReduce (Python)

Machine Learning

• Multiple Linear Regression (MLR) and Logistic Models
• KNN and Tree Based Ensemble Models
• Bayesian MCMC Sampling for a Logistic Regression Model
• Automating Machine Learning Reports
• Diamond: Classification Models (Python)
• Online Shoppers Purchasing Intention: Logistic Regression, Decision Tree and Random Forests (Python)
• Bike Sales: EDA and Prdictions using Grid Search vs. Gradient Descent Algorithm (Python)

Shiny Apps

• Process Data Dashboard
• 3D Scatter Plot Dashboard

Posts

• Aug 1, 2022

  Interactive Dashboards

• Jul 23, 2022

  A Productive Journey

• Jul 16, 2022

  Machine Learning with R

• Jul 10, 2022

  Automation on Reproting

• Jun 28, 2022

  Coolest Things in R

• Jun 26, 2022

  Some Thoughts Aboout Using API

• Jun 9, 2022

  Programming Background

• Jun 5, 2022

  Build a Blog site with GitHub Page

• May 25, 2022

  Replicate vs. Repeat

• May 22, 2022

  Data Science: To be or not to be

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