Basic C.R.U.D. with PyMongo
As I continue through my data science journey I often ask myself “what is the best way to store my data?” My earliest projects involved…Continue reading on The Startup »
View ArticleDemystifying ASAP: Evaluating your K-means Clustering Model
Overview of ClusteringClustering techniques are a type of unsupervised machine learning algorithm. They are used, as the name suggests, to group similar data points together. The way grouping works is...
View ArticleNavigating the Hyperparameter Space
A short guide to the different hyperparameter optimization approaches, and the different implementations available.Continue reading on Towards Data Science »
View ArticleUsing RDS on AWS with Jupyter Notebooks
Creating, Connecting, and Querying a PostgreSQL Database on AWSContinue reading on Medium »
View ArticleA Primer to Recommendation Engines
What they are, how they work, and why they’re great.Continue reading on Towards Data Science »
View ArticleMLE, the Foundation of Naive Bayes Classifiers
Photo by Erik Mclean on UnsplashNaive Bayes Classifiers segment data based upon the principles of Bayes’ Theorem. These classifiers predict the outcome of subsequent observations given information of...
View ArticleEPL Fantasy GW4 Recap and GW5 Algorithm Picks
Our Moneyball approach to the Fantasy EPLContinue reading on Towards Data Science »
View ArticleGuess The Continent — A Naive Bayes Classifier With Scikit-Learn
Implementing categorisation with the simple Naive Bayes ClassifierContinue reading on Analytics Vidhya »
View ArticlePredicting Election Results With Census Data
A map of the 3,007 counties in the United States, via WikipediaIs it possible to determine the way a county will vote based on data from the US Census Bureau? I explored the data available and ran...
View ArticleCurb Your Enthusiasm or Seinfeld?
Using Bayes Theorem to distinguish between a Seinfeld script and a Curb Your Enthusiasm script.Continue reading on Analytics Vidhya »
View ArticleROC and AUC for Categorical Model Evaluation
In supervised learning categorical models assign a class to a given observation. Each observation has a series of features X and a target…Continue reading on The Startup »
View ArticleRaspberry Pi Coding in Go: Traffic Lights
I’ve been learning the Go programming language recently. As an exercise, I decided to revisit a past article that looked at working with…Continue reading on Medium »
View ArticleProgrammatic Advertising & DSPs
In this blog post, I explore the world of programmatic advertising and the role DSPs(Demand Side Platforms) play in this data-driven ecosystem. My journey into the world of advertising began working...
View ArticleHum2Song Multi-track Polyphonic Music Generation from Voice Melody...
Hum2Song Multi-track Polyphonic Music Generation from Voice Melody Transcription with Neural NetworksHum2Song! is an AI-powered web application that is able to compose the musical accompaniment of a...
View ArticleData Science in the Cannabis Industry
The stigma against marijuana has been prevalent in mainstream society for the last century and is finally beginning to dissipate as countries all over the world begin to relax laws. Here in the US ,...
View ArticleHow I built my shipping container house — the hâB
A report on building a shipping container habitat including all the details for DIY.Tomas K. Ryan — support@transitionalcontinuum.comVIDEO of the hâB — Click HEREIf you are curious about building your...
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