Categories: AI/ML Research

From Data to Map: Visualizing Ames House Prices with Python

Geospatial visualization has become an essential tool for understanding and representing data in a geographical context. It plays a pivotal role in various real-world applications, from urban planning and environmental studies to real estate and transportation. For instance, city planners might use geospatial data to optimize public transportation routes, while real estate professionals could leverage […]

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Revealing the Invisible: Visualizing Missing Values in Ames Housing

The digital age has ushered in an era where data-driven decision-making is pivotal in various domains, real estate being a prime example. Comprehensive datasets, like the one concerning properties in Ames, offer a treasure trove for data enthusiasts. Through meticulous exploration and analysis of such datasets, one can uncover patterns,…

January 23, 2024

In "AI/ML Research"

Testing Assumptions in Real Estate: A Dive into Hypothesis Testing with the Ames Housing Dataset

In the realm of inferential statistics, you often want to test specific hypotheses about our data. Using the Ames Housing dataset, you’ll delve deep into the concept of hypothesis testing and explore if the presence of an air conditioner affects the sale price of a house. Let’s get started. Overview…

February 16, 2024

In "AI/ML Research"

Feature Relationships 101: Lessons from the Ames Housing Data

In the realm of real estate, understanding the intricacies of property features and their impact on sale prices is paramount. In this exploration, we’ll dive deep into the Ames Housing dataset, shedding light on the relationships between various features and their correlation with the sale price. Harnessing the power of…

February 5, 2024

In "AI/ML Research"

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