Finding The K Nearest Neighbor Of Nba Teams
First, a short note on k-nearest neighbors. Simply put, it’s a basic machine-learning algorithm to predict unknown values by matching them with the most simi...
First, a short note on k-nearest neighbors. Simply put, it’s a basic machine-learning algorithm to predict unknown values by matching them with the most simi...
Let’s dive deeper into the features of SQLCell. Last time we covered how to get started and some basic functionality.
This is a tool I wrote to execute multithreaded, parameterized SQL queries in a Jupyter notebook.
Bot, Don King is an automatic Reddit promoter. A while back I was experimenting with trying to optimize my Reddit upvotes and the following is what materiali...
I got tired of cleaning up my Jupyter-created HTML to go into my Jekyll blog, so I created a custom JavaScript function to do it for me.
This tool is designed to keep track of all changes made to your models, and to track any metrics you want to run on your models. For example if you make many...
So you’ve been offered that sweet data science/machine learning gig you’ve been working so hard for. What now? Before you figure out what skills you need to ...
Recently, I was working on a project using paragraph vectors at work (with gensim’s Doc2Vec model) and noticed that the Doc2Vec model didn’t natively interac...
In this post, we’ll use a Jupyter notebook as a backend RESTful service to expose a Word2Vec model we trained previously in my write up on Analyzing Rap Lyri...
In this post, we’ll implement the popular machine-learning algorithm, naive Bayes, to predict a genre given some lyrics.
In this post, we’ll analyze lyrics from the best rappers of all time.
Introducing a new library to retrieve music lyrics without having to scrape the site.
Achoo is my way of tracking my son’s allergies and asthma. For the longest time we couldn’t pinpoint exactly what caused his asthmatic episodes. Hopefully th...
I’ve been meaning to revisit SQLCell for some time. Besides the codebase being a product of my early days of learning how to program and that making contribu...
Like many people, I’ve toyed with the idea of writing a book. But there are so many things to consider that I don’t know where to start.
Concept Frequency-Inverse Concept Document Frequency (or CFIDF) is a measure I’ve created to explore and visualize text data and it works surprisingly well.
Like many people, I’ve toyed with the idea of writing a book. But there are so many things to consider that I don’t know where to start.
Concept Frequency-Inverse Concept Document Frequency (or CFIDF) is a measure I’ve created to explore and visualize text data and it works surprisingly well.
So you’ve been offered that sweet data science/machine learning gig you’ve been working so hard for. What now? Before you figure out what skills you need to ...
I’ve been meaning to revisit SQLCell for some time. Besides the codebase being a product of my early days of learning how to program and that making contribu...
Recently, I was working on a project using paragraph vectors at work (with gensim’s Doc2Vec model) and noticed that the Doc2Vec model didn’t natively interac...
Let’s dive deeper into the features of SQLCell. Last time we covered how to get started and some basic functionality.
First, a short note on k-nearest neighbors. Simply put, it’s a basic machine-learning algorithm to predict unknown values by matching them with the most simi...
In this post, we’ll implement the popular machine-learning algorithm, naive Bayes, to predict a genre given some lyrics.
In this post, we’ll analyze lyrics from the best rappers of all time.
Introducing a new library to retrieve music lyrics without having to scrape the site.
Achoo is my way of tracking my son’s allergies and asthma. For the longest time we couldn’t pinpoint exactly what caused his asthmatic episodes. Hopefully th...
This is a tool I wrote to execute multithreaded, parameterized SQL queries in a Jupyter notebook.
Bot, Don King is an automatic Reddit promoter. A while back I was experimenting with trying to optimize my Reddit upvotes and the following is what materiali...
I got tired of cleaning up my Jupyter-created HTML to go into my Jekyll blog, so I created a custom JavaScript function to do it for me.
This tool is designed to keep track of all changes made to your models, and to track any metrics you want to run on your models. For example if you make many...
In this post, we’ll use a Jupyter notebook as a backend RESTful service to expose a Word2Vec model we trained previously in my write up on Analyzing Rap Lyri...