Work smarter with dataprep.ai and get to training faster — Please stop running your Exploratory Data Analysis (EDA)…one…notebook…cell…at…a…time. You are wasting your time when comprehensive tools are available. dataprep.ai is one of those tools. This past week, I was able to iterate through multiple dataset transformations and review the changes blazing fast using dataprep.eda. The value of the tool jumped…

Having fun with the free trial — Last year, I shared with you how to get started using different Data Science tools available to us' regular folk' who may not have access to Enterprise licenses and IT teams. Since changes happen monthly in the AI/ML space, I wanted to review some of those platforms' new tools, capabilities…

Let the shapash python package do the work for you — Do not show up to your next presentation unprepared Understanding what your model is doing is very important. The more information you have to evaluate your model, the better you can tune it. Even if you have a deep understanding of the inner workings of the algorithms, your business partners do not. …

Create an Amazon search web app in under 30 minutes using streamlit and APIs — Learning components of Data Science can be simple and fun. Whether you are learning or teaching concepts, one of the keys is to make it interesting. Not all concepts need to be learned at the same time. Make it simple. Make it fun. In Data Science, it may not matter…

How to create Data Lineage mappings and verify by visualizing using networkx — What we will cover This article will discuss two separate topics. The first is data lineage — mapping a piece of data from its source to the final data product. The other topic is simple graphing with networkx. Each section is useful on its own, but I wanted to demonstrate how one can apply…

Identify the problems and make changes in 2021 — Without a doubt, consumer behavior has shifted dramatically in 2020. We will be hard-pressed to find a model that predicted the global need for N95 facemasks and other PPE. PPE supply models will need to be completely redesigned and retrained. How are your models doing? …

Categorical Encoding, Target Leakage Identification, and Feature Importance are readily available as no-code capabilities. — While the AWS Data Wrangler open source code has been available for some time, AWS has announced that SageMaker Studio now has Data Wrangler built right into the interface. No coding required. That is very appealing when building machine learning models in SageMaker. Let’s take a look.

Be sure your sentiment and text analytics is actually processing characters in your target language — One of the most important parts of working with technology and data is to keep learning. Not just courses, but also randomly challenging yourself to learn something completely new. I decided to use a random number generator to identify packages in the first 20 python packages downloaded according to Python…

Be a workplace Hero! Automate the annoying task of cleaning up the spelling and formatting of categorical text columns with fuzzy matching. — About ten years ago, a family friend had an interesting problem. He was a medical examiner and was responsible for cleaning up spreadsheets of data for reporting. He wanted to aggregate statistics by key columns such as primary and secondary causes of death. The issue he had was that these…