Machine Learning with C#: An Introduction to ML.NET
When you think of data science and machine learning two programming languages are going to instantly pop into your mind: Python and R. These two languages are great and I […]
Beginning R Programming for Data Science: Language Basics
If you’ve done even a short amount of research into data science, there is no doubt you’ve come across the Python vs. R debate. While we won’t get into which […]
Using the Cognitive Services Text Analytics API: Sentiment Analysis
In our previous post, we feed Twitter data to the Text Analytics API which was able to detect the language of each tweet. We will expand upon our previous work […]
Pre-processing Text Data with NLTK and Azure Machine Learning
Data comes in all forms. Lately, we’ve been going over mostly numerical and categorical data. Even though the categorical data contains words, we transform it into numerical data for our […]
Exploratory Data Analysis (EDA) in Python: Statistics for Data Science
In our last post we discussed different types your data can have. Now let’s focus on how to analyze on those types of data. Python code will be used to […]
Creating Web Apps for Your Machine Learning Models with Dash
In the last post, we created APIs for our machine learning models so they could be deployed and clients could invoke them. However, what if you just wanted a simple […]
Creating a Simple Linear Regression Machine Learning Model with scikit-learn
In this post, we’ll look at what linear regression is and how to create a simple linear regression machine learning model in scikit-learn. If you want to jump straight to the […]
Top Free Data Science Books
There are probably thousands upon thousands of tutorials, articles, videos, and blog posts on all things data science on the internet now. Yet I’m still a big fan of books. […]
Using Pandas to Analyze Sales Data
Now that we know how the data science process works, let’s leverage some of it and try to find insights into some data. We’ll be using pandas, a popular data […]