Dataiku 4.1.0: More support for R users!
Introduction Recently, Dataiku 4.1.0 was released, it now offers much more support for R users. But wait a minute, Data-what? I guess some of you do not know Dataiku, so...continue reading.
Introduction Recently, Dataiku 4.1.0 was released, it now offers much more support for R users. But wait a minute, Data-what? I guess some of you do not know Dataiku, so...continue reading.
I am very excited to announce the release of Petpy v1.0! Petpy is a simple to use wrapper for the Petfinder API written in Python. The Petfinder API enables users…...continue reading.
Psychology vs. Probability Anyone old enough to remember the Monty Hall problem from the old TV Show Let’s Make a Deal? It’s a classic probability problem – but despite its...continue reading.
Topic modeling is a method for finding abstract topics in a large collection of documents. With it, it is possible … Read More →continue reading.
Introduction In my previous post I showed how to enable MATLAB in Jupyter notebooks on Windows. Now it’s time for GNU/Linux (Ubuntu). My main issue with enabling new kernel was...continue reading.
In this post, we will once again examine data about wine. Previous predictive modeling examples on this blog have analyzed a subset of a larger wine dataset. In the current...continue reading.
One of the perks of knowing a programming language is that you can build your own tools and applications. Depending on what you need, it may even be a fast...continue reading.
I am excited to announce the release of mathpy 0.3.0! This release adds a ton of Excel UDFs including many new statistical and number-theoretic functions, several random number generators and…...continue reading.
Recently I’ve been getting familiar with AutoCAD and at the same time I’m trying to improve my Python skills. Odd mix, huh?!While trying to improve my Python skills I thought...continue reading.
My Python library, mathpy, a collection of mathematical and statistical functions with Excel integration, has a new release! Version 0.2.0 introduces a ton of additional mathematical and statistical functions have…...continue reading.
Suppose you have a list of addresses and want to connect them with some kind of location-based information. For example, … Read More →continue reading.
More than 2 years ago I wrote a short post on Taylor series. The post featured a simple script that took a single variable function (a sine in the example),...continue reading.
This an introductory tutorial on web scraping in Python. All that is required to follow along is a basic understanding of the Python programming language.continue reading.
This an introductory tutorial on web scraping in Python. All that is required to follow along is a basic understanding of the Python programming language.continue reading.
I’ve recently given a small workshop on Text Preprocessing and Feature Extraction for Quantitative Text Analysis with Python at the … Read More →continue reading.
Have you been thinking about a career in data science, but have no idea how to get started? Data School is here to help you find your way!continue reading.
Have you been thinking about a career in data science, but have no idea how to get started? Data School is here to help you find your way!continue reading.
Face Detection in R OpenCV is an incredibly powerful tool to have in your toolbox. I have had a lot of success using it in Python but very little success...continue reading.
When doing text processing with NLTK on large corpora, you often need a lot of patience since even simple methods … Read More →continue reading.
In the previous two posts, I described some analyses of a dataset containing characteristics of 2000 different wines. We used easily-analyzable data such as year of production and appellation region...continue reading.