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Andrew Bossie
Andrew Bossie

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Sentiment Analysis of QAnon Drops

(Part One) Motivation Learning a new concept in any field can be a daunting task. A typical approach is to find an application that is relevant or at least interesting to you, the learner. In teaching myself unsupervised machine learning, I was intrigued by QAnon drops; anonymous internet posts that have…

Machine Leaning

3 min read

Sentiment Analysis of QAnon Drops
Sentiment Analysis of QAnon Drops
Machine Leaning

3 min read


Aug 11, 2021

Visualizing UFO Sightings with Plotly.py

Motivation Presenting information to client or colleagues, specifically those unfamiliar with the data, can be a complex task. Maintaining viewer attention, creating relatable information and conveying meaning are all important goals when presenting data. How can we reach those goals? Project Let’s learn how to visualize the frequency of UFO sighting in…

Plotly

4 min read

Visualizing UFO Sightings with Plotly.py
Visualizing UFO Sightings with Plotly.py
Plotly

4 min read


Jul 5, 2021

Classifying Kepler Objects of Interest with Logistic Regression

Inspiration From 2009 to 2016, NASA’s Kepler Mission set out to study the probability that objects of interest revolving around candidate stars could be classified as exoplanets. I had been interested in this mission years ago, going so far as helping out with the Planet Hunters project. …

Machine Learning

5 min read

Classifying Kepler Objects of Interest with Logistic Regression
Classifying Kepler Objects of Interest with Logistic Regression
Machine Learning

5 min read


Jun 11, 2021

Sentiment Analysis of QAnon Drops

(Part Three) Recap In the previous two posts we imported a corpus of QAnon drops, split it and extracted a vector-space embedding of the individual words. What Happens Now In this part we will take our newly vectorized data and pass it into a k-means classifier. Our hope here is to split each word…

5 min read

Sentiment Analysis of QAnon Drops
Sentiment Analysis of QAnon Drops

5 min read


Jun 11, 2021

Sentiment Analysis of Q-Anon Drops

(Part Two) Recap To catch up, we are discovering sentiment in QAnon drops using an unsupervised (k-means clustering) approach. In my previous post we imported our data into a pandas dataframe and did some initial data cleaning. What happens now In this article we take our logical next step, translating the QAnon drops into…

3 min read

3 min read

Andrew Bossie

Andrew Bossie

1 Follower

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