This project involed an iterative approach to building a multiple linear regression model with python, scikit-learn, and statsmodels to predict sale prices for houses in King County, WA, utilizing data of homes sold in 2014 and 2015 (data provided by Flatiron School and a similar dataset is available on Kaggle). The first portion of this project is spent cleaning the data, engineering a few new features, and then building models, tweaking each model until a final model is built. Rather than using log transformations to normalize data, I decided to keep the model as interpretable as possible, using alternative techniques…

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Google Trends is an incredibly insightful tool to capture search trends of Google users. Coming from a revenue management background in the hotel industry, using search trends could influence several pricing and marketing decisions such as identifying need dates for promotions, potential high demand periods, evaluating potential lost business by comparing search trends to reservations made, and other revenue-related strategies. Practical business strategies can be applied for any company using Google Trends.

I just happened to stumble across pytrends recently and am fairly new to using the API, but I thought I would share some of my findings. From what…

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The NFL continues its quest for improving player safety, working closely with Amazon Web Services to develop the “digital athlete” in order to virtually analyze, predict and prevent player injuries. Preventing concussions remains top on the list of priorities. As most recently reported by the NFL, the 2019–2020 season involved 224 total concussions. …

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My primary goal with this article is to highlight a practical application as a result of building a convolutional neural network (CNN) model. In general, CNN models have a wide variety of applications; in this case, it’s building a model that can accurately detect pneumonia in x-ray images. Sounds cool, right? But why would we need a convolutional neural network when we have medical experts that can perform the same task?

Why would we need a CNN to detect pneumonia?

Across the world, there is a general lack of radiologists, and this number continues to diminish which causes significant resources…

Police reform is a huge topic these days, especially as we get closer to a presidential election with two candidates who seem to have very different ideologies on the matter. A topic that could potentially be reviewed when looking at police reform is Terry Stops. In 1968, the Supreme Court ruled that if an officer has reasonable suspicion that a person committed, is committing, or is about to commit a crime, the officer is not violating the Fourth Amendment’s prohibition on unreasonable searches and seizures if they choose to stop, investigate, and even frisk the suspect to determine if they…

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This post covers some of the steps involved with basic exploratory data analysis in Python, primarily utilizing the Pandas, Matplotlib, and Seaborn libraries. We won’t be diving into machine learning, modeling deep neural networks or utilizing gradient descent to minimize the cost function for a logistic regression model, primarily because this is my first data science project, so deep neural networks are slightly out of the question (for now)! This post is for true beginners.

If there’s anything that I would want a beginner like me to know when starting out their data science journey, it’s that reading books, articles…

I grew up in a very religious home, including going to church every Sunday morning, Sunday night and Wednesday night. I went to a small Christian school K-12th grades, which eventually led me to go to one of the few Christian colleges that was highly encouraged in that environment. Truthfully, I had no idea what I wanted to do with my life, but I thought appeasing my teachers and my peers was the right thing to do at the time.

Despite realizing midway through my junior year of college that this was not the path for me, I ended up…

David Bartholomew

Aspiring Data Scientist, recent graduate of Flatiron School’s online data science program.

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