Posts with tag: clustering

Revenue and Marketing Insights from Customer Segmentation
Introduction Stores can use in-depth understanding of their customers to maintain customer loyalty, target campaigns, and thereby generate...
Using Data for A Recipe Recommendation System
The skills the author demonstrated here can be learned through taking Data Science with Machine Learning bootcamp with...
A Mini MacroEconometer for the Good, the Bad and the Ugly
The skills the author demonstrated here can be learned through taking Data Science with Machine Learning bootcamp with...
Data in Shiny Parsing and Visualizing Transcriptomics
Project GitHub | LinkedIn:   Niki   Moritz   Hao-Wei   Matthew   Oren The skills we demoed here can be learned through...
Predicting Stock Movement of Hang Seng's Components
Introduction This post is about the capstone project we are supposed to deliver at the end of the NYC...
Advanced Regression to Predict Housing Prices (Kaggle Competition)
Project Overview: This project was a team effort along with Kweku Ulzen, Michael Chin, and Matthew Sun to...
Data Study on NYC's Seven Major Felonies
The skills the author demoed here can be learned through taking Data Science with Machine Learning bootcamp with...
Data Driven Ads by Starbucks Customer Segmentation
The skills the authors demonstrated here can be learned through taking Data Science with Machine Learning bootcamp with...
Finding the Best Liquor Store Location in Iowa
The skills the author demonstrates here can be learned through taking Data Science with Machine Learning bootcamp with...
Data Gathering Your Next Trip in US
The skills the author demoed here can be learned through taking Data Science with Machine Learning bootcamp with...
Studying Data on Violent Behavior From Criminal Records
The skills the author demoed here can be learned through taking Data Science with Machine Learning bootcamp with...
Predicting Home Prices in Ames, IA Using Regression Models
This project was the result of a team effort along with Dean Goldman, Michael Chin, and Matthew Sun to enter into the Housing...
Unsupervised dimension reduction and clustering to process data for pooled regression models
Abstract: Unsupervised PCA and hierarchical clustering methods were used to group observations according to 41 dimensions of descriptive categorical...
Data Visualization on Crimes in New York City
The skills the author demoed here can be learned through taking Data Science with Machine Learning bootcamp with...

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