Machine Learning: Unsupervised Learning - Clustering Project

Trade & Ahead
#unsupervisedlearning #clustering #kmeansclustering #hierarchicalclustering #modelbuilding #modelevaluation #businessanalysis
Objective
Analyze the stocks data, grouping the stocks based on the attributes provided, and sharing insights about the characteristics of each group.
Grade: 60/60 (100%)
 
Machine Learning

ReneWind (Model Tuning)
EasyVisa (Ensemble Techniques)
Trade & Ahead (Unsupervised Learning Clustering)
INN Hotels (Supervised Learning - Classification)
ReCell (Supervised Learning - Regression)
E-news Express (Business Statistics)
FoodHub Order Analysis (Python)
Machine Learning

Machine Learning

Web Development

Web Development

Data Analysis

Data Analysis

activities

Teaching

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Mark Patrick Harris can be reached at mpharris6922@gmail.com  |  downloadable résumé (PDF)