An exploration of the movement of public funds distribution over time throughout Chicago communities
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Updated
Jan 10, 2022 - HTML
An exploration of the movement of public funds distribution over time throughout Chicago communities
This is my coursera Project completed when trying to learn about the use of SQL in Data Science.
Segment the Chicago's housing market and determine the main factor's influencing the housing price.
This is a repository for the capstone project of IBM Data Science professional certificate.
Exploring the impact of socioeconomic indicators on hardship in Chicago neighborhoods using machine learning. Leveraging Linear Regression, Decision Tree, random forest, and Agglomerative Clustering, the project identifies key factors—unemployment, lack of a high school diploma, and poverty—highlighting disparities in the dataset from 2008-2012
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