Vivian Duong
Résumé | Letters of Recommendations | vivian (underscore) duong (at) alumni (dot) brown (dot) edu |
  • Yet another tutorial on Monads(,Monoids, and Functors with Scala)

    January 24, 2022
    functional-programming math scala category-theory
  • How To Make New Terminals Have Diffferent Background Colors

    March 13, 2021
    zsh command-line iterm2
  • How to Render LaTex in Jekyll

    January 03, 2021
    LaTeX math Jekyll
  • How to Manually Print Double-Sided

    April 25, 2020
    python functools functional-programming itertools print frugal
  • Spooky Author Identification

    July 14, 2019
    Kaggle spooky-authors-identification log-loss natural-language-processing text-processing tf-idf inverse-document-frequency tf idf naive-bayes logistic-regression gridsearchcv support-vector-machine svm svc
  • Poisson Distribution

    June 14, 2019
    probability poisson binomial limit poisson-process random-variable eulers-number e
  • How To Setup Aws Cli

    April 28, 2019
    AWS Git-Bash Bash command-line Cloudformation AWS-CLI command-line-interface
  • Gradient Descent

    February 25, 2019
    machine-learning optimization gradient-descent convex-functions
  • Machine Learning with AdaBoost

    February 20, 2019
    machine-learning boosting sklearn sklearn.ensemble.AdaBoostClassifier sklearn.tree.DecisionTreeClassifier eulers-number e
  • Predicting Housing Prices 06 Failed Attempt Random Forest

    December 30, 2018
    regression housing-prices ames test kaggle sklearn.linear_model.linear_regression sklearn.linear_model sklearn matplotlib pd.get_dummies random-forest decision-tree bagging bootstrap-aggregation
  • Predicting Housing Prices 05 Linear Models My Best Performers

    December 30, 2018
    regression housing-prices ames test kaggle sklearn.linear_model sklearn matplotlib sklearn.processing.StandardScaler StandardScaler standard-scaling scaling LASSO RIDGE sklearn.linear_model.LassoCV sklearn.linear_model.RidgeCV log data-transformation
  • Predicting Housing Prices 04 Benchmarking With Linear Regression

    December 30, 2018
    regression housing-prices ames test kaggle sklearn.linear_model.linear_regressioon sklearn.model_selection.train_test_split sklearn.linear_model sklearn matplotlib sklearn.processing.StandardScaler StandardScaler standard-scaling scaling
  • Predicting Housing Prices 03 Preparing Test Set

    December 30, 2018
    regression housing-prices ames test kaggle
  • Predicting Housing Prices 02 Exploratory Data Analysis

    December 30, 2018
    regression housing-prices ames eda exploratory-data-analysis pandas numpy seaborn matplotlib sns.regplot sns.countplot sns.boxplot
  • Predicting Housing Prices 012 Data Prep Imputing Nans

    December 30, 2018
    regression data-preparation data-cleansing python pandas numpy pickly jupyter ipynb ames housing-prices imputing-nans mean mode pd.crosstab
  • Predicting Housing Prices 011 Data Prep Outlier

    December 30, 2018
    regression data-preparation data-cleansing python pandas numpy pickly jupyter ipynb ames housing-prices seaborn matplotlib outliers tukey-outliers
  • Predicting Housing Prices 010 Data Prep Formatting

    December 30, 2018
    regression data-preparation data-cleansing python pandas numpy pickly jupyter ipynb ames housing-prices
  • How to Create a Blog Using Jekyll

    December 20, 2018
    jekyll blog windows git ruby gem html css ssg web-development bash command-line
  • Decision Trees And Random Forests

    December 12, 2018
  • Decision Trees and Random Forests on Titanic Data

    December 12, 2018
    classification decision-tree random-forest titanic kaggle accuracy sklearn OneHotEncoder RandomForestClassifier SimpleImputer pandas seaborn matplotlib
  • ANOVA One-Way

    December 06, 2018
  • Displaying Jupyter Notebook In Jekyll Blog Post

    December 04, 2018
  • How to Connect to Microsoft SQL Server Using R

    November 24, 2018
  • How to Connect to Microsoft SQL Server Using Python

    November 24, 2018
  • Optimizing Sample Size in AB Tests (edited 2021-01-03)

    November 18, 2018
  • Selenium Python Cheat Sheet

    June 09, 2018
  • Market Segmentation Using Customer Data 03 Cluster Modeling

    May 01, 2018
    customers segmentation ggplot2 GGally knn cluster-modeling unsupervised-learning
  • Market Segmentation Using Customer Data 02 Hunting For Outliers

    May 01, 2018
    customers segmentation R-language mlbench ggplot2 GGally reshape2 knn
  • Market Segmentation Using Customer Data 01 Data Preparation & Eda

    May 01, 2018
    customers market-segmentation R-language GGally ggplot2 mlbench
  • Ridge And Lasso

    April 09, 2018
  • Ordinary Least Squares Linear Regression

    April 09, 2018
  • How to Setup an AWS Instance, Docker, and Jupyter (The solution to "it only works on my computer" problem)

    February 01, 2018
    AWS EC2 Docker Jupyter Git-Bash Bash command-line ssh sci-py CloudFormation
  • How To Set A Password For Jupyter Notebook

    February 01, 2018
    AWS EC2 Docker Jupyter Git-Bash Bash command-line ssh
  • The Adjoint Equation

    November 20, 2012
    differential-equations latex undergraduate Brown APMA0340
  • Proof Solution of Characteristic Equation is Either Zero Everywhere or Else Zero at Most Once

    November 20, 2012
    differential-equations latex undergraduate Brown APMA0340
  • Proof Euler's Equation Can Be Transformed Into An Equation with Constant Coefficients

    November 20, 2012
    differential-equations latex undergraduate Brown APMA0340
  • Complex Roots of the Characteristic Equation

    November 20, 2012
    differential-equations latex undergraduate Brown APMA0340
  • First ODE Integrating Factor

    November 19, 2012
    differential-equations latex undergraduate Brown APMA0340
vivian_duong@alumni.brown.edu |