AI and Data Science Consulting
for 7 and 8-Figure Businesses
We use AI, machine learning, and data science to help you …
… get more customers
… increase sales
… get the insights you need to grow your business
What We Do
Data Strategy
Most companies struggle to use their data effectively, because they don’t know what to do.
We’ll work with you to understand your business goals, identify what data capabilities can help you meet those goals, and then develop a data strategy for your business to bridge the gap.
Prototyping and Staff Augmentation
Once you know what data capabilities you need, we can help you fill in any gaps in your business buy helping you build data deliverables and systems.
This includes helping you with reporting, analytics, dashboarding, building machine learning systems, and more.
Training
Although we can directly help you build data deliverables and systems, ideally, you should try to build teams of people inside your business that can do data science work.
We can help you train your employees in all of the essentials of data science, including data wrangling, visualization, analytics, machine learning, and more.
– Sharon P. (Sharp Sight Student)
Recent Blog Posts
The Best Way to Plot a Precision-Recall Curve in Python
In this tutorial, I’ll show you how to plot a precision-recall curve in Python using Seaborn. Specifically, I’ll show you how to use the new Seaborn Objects package to plot it. The article is divided into several different sections to make it easier to...
Binary Classification, Explained
Binary classification stands as a fundamental concept of machine learning, serving as the cornerstone for many predictive modeling tasks. At its core, binary classification involves categorizing data into two distinct groups based on specific criteria, a process akin...
Positive and Negative Classes, Explained
In this blog post, I’m going to quickly explain positive and negative classes in machine learning classification. I’ll explain what the positive and negative classes are, how they relate to classification metric, some examples of positive and negative in...
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