SQLCell Part II: Beyond the Basics
Let’s dive deeper into the features of SQLCell. Last time we covered how to get started and some basic functionality.
Posts by Tags
JavaScript
SQLCell Part I: The Basics
This is a tool I wrote to execute multithreaded, parameterized SQL queries in a Jupyter notebook.
R
Achoo (beta 0.1): A Predictive Ashtma Alert System
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...
ModelTrackeR
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...
SQL
SQLCell 2.0: Redesigning SQLCell for JupyterLab
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...
SQLCell Part II: Beyond the Basics
Let’s dive deeper into the features of SQLCell. Last time we covered how to get started and some basic functionality.
SQLCell Part I: The Basics
This is a tool I wrote to execute multithreaded, parameterized SQL queries in a Jupyter notebook.
SQLCell
SQLCell 2.0: Redesigning SQLCell for JupyterLab
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...
SQLCell Part I: The Basics
This is a tool I wrote to execute multithreaded, parameterized SQL queries in a Jupyter notebook.
advice
So you want to write a book? A conversation with Manning author John Berryman
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.
Think Twice Before You Accept That Fancy Data Science Job
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 ...
books
So you want to write a book? A conversation with Manning author John Berryman
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.
data-engineering
Exposing a Word2Vec Model with a RESTful API Using Only a Jupyter Notebook (No Web-Development Skills Required!)
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...
data-science
SQLCell 2.0: Redesigning SQLCell for JupyterLab
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...
Concept Frequency-Inverse Concept Document Frquency: Analyzing Concepts in Text
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.
Think Twice Before You Accept That Fancy Data Science Job
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 ...
Using Bigram Paragraph Vectors for Concept Detection
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...
Exposing a Word2Vec Model with a RESTful API Using Only a Jupyter Notebook (No Web-Development Skills Required!)
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...
Using Naive Bayes to Predict a Song’s Genre Given its Lyrics
In this post, we’ll implement the popular machine-learning algorithm, naive Bayes, to predict a genre given some lyrics.
Analyzing Rap Lyrics Using Word Vectors
In this post, we’ll analyze lyrics from the best rappers of all time.
Achoo (beta 0.1): A Predictive Ashtma Alert System
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...
SQLCell Part II: Beyond the Basics
Let’s dive deeper into the features of SQLCell. Last time we covered how to get started and some basic functionality.
SQLCell Part I: The Basics
This is a tool I wrote to execute multithreaded, parameterized SQL queries in a Jupyter notebook.
data-science-tools
ModelTrackeR
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...
eda
Concept Frequency-Inverse Concept Document Frquency: Analyzing Concepts in Text
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.
glm
ModelTrackeR
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...
jekyll
Jekyll Micro extension for Jupyter Notebooks
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.
jupyter-lab
SQLCell 2.0: Redesigning SQLCell for JupyterLab
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...
jupyter-notebook
SQLCell 2.0: Redesigning SQLCell for JupyterLab
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...
Exposing a Word2Vec Model with a RESTful API Using Only a Jupyter Notebook (No Web-Development Skills Required!)
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...
SQLCell Part II: Beyond the Basics
Let’s dive deeper into the features of SQLCell. Last time we covered how to get started and some basic functionality.
SQLCell Part I: The Basics
This is a tool I wrote to execute multithreaded, parameterized SQL queries in a Jupyter notebook.
Jekyll Micro extension for Jupyter Notebooks
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.
lm
ModelTrackeR
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...
machine-learning
Using Bigram Paragraph Vectors for Concept Detection
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...
Using Naive Bayes to Predict a Song’s Genre Given its Lyrics
In this post, we’ll implement the popular machine-learning algorithm, naive Bayes, to predict a genre given some lyrics.
Analyzing Rap Lyrics Using Word Vectors
In this post, we’ll analyze lyrics from the best rappers of all time.
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...
nlp
Concept Frequency-Inverse Concept Document Frquency: Analyzing Concepts in Text
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.
Using Bigram Paragraph Vectors for Concept Detection
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...
python
SQLCell 2.0: Redesigning SQLCell for JupyterLab
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...
Using Bigram Paragraph Vectors for Concept Detection
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...
Exposing a Word2Vec Model with a RESTful API Using Only a Jupyter Notebook (No Web-Development Skills Required!)
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...
Using Naive Bayes to Predict a Song’s Genre Given its Lyrics
In this post, we’ll implement the popular machine-learning algorithm, naive Bayes, to predict a genre given some lyrics.
Analyzing Rap Lyrics Using Word Vectors
In this post, we’ll analyze lyrics from the best rappers of all time.
Cypher: A Quick Way to Retrieve Music Lyrics
Introducing a new library to retrieve music lyrics without having to scrape the site.
Achoo (beta 0.1): A Predictive Ashtma Alert System
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...
SQLCell Part II: Beyond the Basics
Let’s dive deeper into the features of SQLCell. Last time we covered how to get started and some basic functionality.
SQLCell Part I: The Basics
This is a tool I wrote to execute multithreaded, parameterized SQL queries in a Jupyter notebook.
Meet Bot, Don King
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...
Jekyll Micro extension for Jupyter Notebooks
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.
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...
Meet Bot, Don King
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...
series
SQLCell 2.0: Redesigning SQLCell for JupyterLab
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...
SQLCell Part I: The Basics
This is a tool I wrote to execute multithreaded, parameterized SQL queries in a Jupyter notebook.
tools
SQLCell 2.0: Redesigning SQLCell for JupyterLab
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...
SQLCell Part I: The Basics
This is a tool I wrote to execute multithreaded, parameterized SQL queries in a Jupyter notebook.
Meet Bot, Don King
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...
Jekyll Micro extension for Jupyter Notebooks
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.
ModelTrackeR
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...
web-scraping
Cypher: A Quick Way to Retrieve Music Lyrics
Introducing a new library to retrieve music lyrics without having to scrape the site.
Meet Bot, Don King
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...
woke
So you want to write a book? A conversation with Manning author John Berryman
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.
Think Twice Before You Accept That Fancy Data Science Job
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 ...
word-embeddings
Concept Frequency-Inverse Concept Document Frquency: Analyzing Concepts in Text
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.