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I recently graduated from Flatiron’s Data Science Bootcamp and am in the process of cleaning up some repositories and projects on Github and making things more organized for a portfolio. We had some lessons going over cleaning up some of the files, so I chose some of the best parts that I found most helpful to share in this blog post. …


SpaceX

My latest project at Flatiron was to use neural networks to classify satellite image tiles. I chose to use a convolutional neural network (CNN) and create a dataset of webscraped images to train the model with. This will just be a quick rundown of what went into the project with additional links to my articles to more of the technical parts. This way, it can help to familiarize you with the topics or help to share more about my work with those who have similar interests in computer vision and machine learning.

I chose to use a CNN because I…


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I recently came across a challenge while working on my final capstone project to graduate from Flatiron’s data science program. For the capstone we were required to compile our own dataset. My project was an image classification model so I chose to scrape some images. My first attempts at using Beautiful Soup to scrape images from Google Image Search were faulty because I could not get the scrape to scroll down the page and it would only return a small set of ten images, which was far less than what I needed to train the model. Other sites recommended I…


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I have an older ’09 Macbook Pro and had trouble while trying to run the latest Keras to use for my latest Flatiron school neural network projects. The older Mac only updates to El Capitan, so it’s unable to run the latest versions of Keras in Jupyter notebooks. To get around this, I have been trying to integrate the use of Google Colab with my workflow. Colab is a cloud-based notebook and has the needed updates to run Keras and has come in handy. Trying to learn the small differences between Jupyter notebooks and Colab in order to keep everything…


Convolutional neural networks (CNN’s) are the main deep learning tool to use for image processing. I recently used a CNN for my latest student project here at Flatiron and got to have a look at how they work and how they differ from dense neural networks, in addition to how they perform better when working with images and python. In my project, I was able to classify patient x-ray images to determine whether they had pneumonia or not. There are also many other uses for image processing in the medical field and in other fields of work and study. …


Machine learning and the ability to make predictions for use in the real world can be a very helpful tactic in many different areas of knowledge and study, but it doesn’t come without its faults. Such a fault could be when achieving less than adequate results due to data leakage. I came across this interesting topic during my current studies as a data science student and wanted to share my general understanding of the problem. When working in machine learning, there are many different steps and a variety of different options to account for when importing data, cleaning it, developing…


While going through my studies in data science courses, I’ve become more familiar with statistical and hypothesis testing for experiments, and how using both a p-value and statistical power can help to support your claims. The p-value helps you decide whether to reject or accept your null hypothesis and assume whether your hypothesis holds any value or not. There are different factors that affect p-values such as sample or population size, along with normality of the data and variance, but more often than not, this p-value isn’t enough to go on when determining the significance of your hypothesis test. There…


This is a question that I’ve been contemplating for several months now, since happening across a Forbes article discussing the use of income share agreements (ISA) as a tuition system for coding bootcamps. Truth be told, I’ve been thinking of this move to tech for a while longer, since finishing my bachelor’s back in 2010. The article more so rekindled my ideas of looking into the tech world and coding as a new career option while I try to dig myself out of the metaphorical mountain towering over America that is student debt. …

Alexander Beat

Data scientist. Flatiron grad. Artist converted to tech. Fascinated by technology, space, global culture and history. linkedin.com/in/alexanderbeat

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