Publications by Nguyen Bui
text_mining_quick-look
#Load libraries #Read and adjust datasets Analyze Title Statistics ## Joining, by = "word"Joining, by = "word" Wordcloud Critical-Aspect ...
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Tiki Job Title - Indeed Skills
Content General Activities Job Description Requirement ...
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Dashboard_text_mining
Text_mining_cartoon Nguyen_LSCM — April 15 2020 This kernel is created by the “…” inspiration Hi I’m just a second year student. I learn these great things by myself, so please to give me more suggestions if you find any problems with my kernel. Also, Please to upvote if you like my kernel . Overview Column Wordcloud Senti...
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House Price_demo_1
Load libraries and dataset View the data Visualize Region Year vs Total Volume Price Ratio of Organic per Conventional Type of Avocado Type of Bags Price Series Each month of each year Select Region Each month ...
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ghtk
Untitled Nguyen_LSCM — 5/2/2020 Row {data-width = 500} Time Quantity Row {data-width = 500} Map ...
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scatterD3 tutorial
suppressMessages(library(scatterD3)) ## Warning: package 'scatterD3' was built under R version 3.6.3 Preface scatterD3(data=mtcars,x=wt,y=mpg) Global points settings point_size: allows to change the global size of all points point_opacity: allows to change the global opaccity of all points -colors when given a single HTML color code, allows t...
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M5-Forecasting
Photo by Fabio Bracht (@bracht) on Unsplash. 1 Introduction Welcome to an extensive Exploratory Data Analysis for the 5th Makridakis forecasting competitions (M5)! This notebook will grow over the coming days and weeks into a deep dive of all the relevant aspects of this challenge. Here’s all you need to know to get started: Some Background: t...
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Marketing_Nielsen
Mid-term . Marketing Nielsen Group nice to have — June 15 2020 Product of Lion company “Household and personal care are 2 categories that Lion are aim at launching in Vietnam.” “Click in this tree to see more Lion categories and sub-categories” Potential Market - Map visualization “Vietnam and other countries. Pleas...
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house price
1 Executive Summary I started this competition by just focusingon getting a good understanding of the dataset. The EDa is detailed and many visualizations are included. This version also includes modeling. Lasso regressions performs best with a cross validation RMSE-score of 0.1121. Given the fact that there is a lot of multicollinearity among t...
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R-Titanic
1 Introduction This is an R approach to the Titanic Exploratory Data Analysis and modelling using the tidyverse packages. In a first step, I will focus on visualisations of the various features and their (inter-related) properties. Later, I will explore the usage of different classifiers. I’m mainly using dplyr for data manipulation and ggplot2...
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