Data Science

Machine learning & data science for beginners and experts alike.

4 min to read

Exporting Models in AML for Seamless Deployment and Enhanced...

We've recently introduced a feature called Model Export that takes the ML experience to a new level

Machine Learning

3 min to read

One-hot Encoding for Machine Learning on Alteryx

I have prepared a macro for Alteryx which allows you to convert variables that are categorical in nature into numerical variables, a process called one-hot encoding

Developer

Python

7 min to read

Minimal Dependencies of Minimal Dependencies: A Story Result...

Getting adequate support and testing in place for minimum dependency resolution is crucial in ensuring that users won’t run into unexpected problems.

5 min to read

Building Explainable AI: How to Get Prediction Explanations...

Being able to explain a model’s predictions is a major challenge for Data Scientists. Luckily both Alteryx ML and Intelligence suite (IS) can do the hard work for you.

Python

25 min to read

Introducing Woodwork - An Open Source Python Library for Ric...

We are excited to announce a new addition to our open-source projects: Woodwork, a Python library that provides robust methods for managing and communicating data typing informatio...

Python

Time Series

5 min to read

Detecting and Correcting Irregularly Spaced Time Series Data...

Time series data quality issues are very frequent in the real world but make it hard to predict on. This is where Woodwork and EvalML’s new tools come in.

Python

5 min to read

Advancing Model Understanding: Human-Readable Pipeline Expla...

Our open-source Python AutoML package, EvalML, offers a wide variety of ways to understand the machine learning models that you train.

Machine Learning

4 min to read

Building a Recommendation Engine with Alteryx + Python

With a bit of data science plus Alteryx Designer, we built a recommendation engine for the Alteryx Community in under 30 days.

Python

Time Series

2 min to read

Data Science Portal Discussion Highlights, July 2021

We spotlight some of the most active, thought-provoking, useful, and/or just plain entertaining discussions from the Data Science Portal in July.

Machine Learning

2 min to read

Accomplish More with Automated Machine Learning

Automated machine learning can help us all accomplish more. Learn more about autoML and how our open-source Python library EvalML makes it easier to explore that potential.

Developer

Python

4 min to read

Jupyter Flow FAQ

Got a question? The Jupyter Flow tool FAQ may be able to help!

Developer

Python

5 min to read

Introducing the Jupyter Flow Tool

Schedule Jupyter notebooks on Server. Use and share them in Alteryx workflows. Integrate Jupyter notebooks and their environments into your analytics process. The Jupyter Flow tool...

Best Practices

1 min to read

Feature Engineering 101: Introduction to Featuretools

Construct new features automatically to build better models, save time and avoid the mistakes that can occur in a manual process.

Developer

Python

9 min to read

How to Troubleshoot Memory Problems in Python

Memory problems are tough to diagnose and fix — maybe more so in Python. Read about how we identified and fixed a memory problem in EvalML, and pick up some best practices you can...

Best Practices

7 min to read

Normalization, Standardization, and Regularization in Altery...

Ever get a little confused by these three terms that sound so similar? Let's get some clarity on these important concepts.

Machine Learning

10 min to read

Using Text Data in EvalML with Woodwork

Learn how EvalML leverages Woodwork, Featuretools and the nlp-primitives library to process text data and create a machine learning model that can detect spam text messages.

Machine Learning

4 min to read

Exploring EvalML: Automatically Build, Optimize and Evaluate...

Go on a guided tour of how EvalML automatically builds, optimizes and evaluates supervised machine learning pipelines.

Machine Learning

5 min to read

Exploring Featuretools: Automated Feature Engineering for Ma...

Let's explore how Featuretools generates new features for use in machine learning — automatically, quickly and easily.

Python

4 min to read

Easy, Open-Source AutoML in Python with EvalML

Introducing EvalML — an open-source library for automated machine learning (AutoML) and model understanding, written in Python.

Machine Learning

11 min to read

Beyond Churn: An Introduction to Uplift Modeling

Knowing which customers might churn is helpful, but uplift modeling can give you a new window into the nuances of customers' responses, among other applications.

Machine Learning

7 min to read

Introducing Compose for Prediction Engineering

How to build better training examples in a fraction of the time.

Machine Learning

6 min to read

Tackling the Titanic Kaggle Competition with Assisted Modeli...

I'll give a shoutout in the subsequent Tackling Competitions Post to the person with the best score in the previous post as an added incentive!

Best Practices

7 min to read

Visualizing Automated Feature Engineering

To make it easier to understand how a feature was generated automatically, Featuretools now has the ability to graph the lineage of a feature.

Alteryx Designer

11 min to read

Use Python, Alteryx, and OCR/AI to Extract Data From Images

It's tedious to capture and input data by hand. Instead, capture data in image form and extract the data from those images.

Python

3 min to read

Plot Twist: Using the Python Tool for Plotting

Want to bring the power of Python to your data visualization -- all within Designer? Learn how to use the Python Tool to create charts, graphs and plots.

Python

10 min to read

Ghost Hunting: Factor Analysis with Python and Alteryx

What if you believe something is happening in your data that isn’t precisely reflected by a single variable you measured -- maybe because it wasn’t or couldn’t be observed? Learn a...

Alteryx Designer

2 min to read

Happiness is a Network of Friends

Quantifying the quantity and quality of treasured social ties might feel a little strange. But the strength of social relationships is important in the “Analytics of Happiness,” as...

Python

1 min to read

Python Tool Cheat Sheet and Resources

Now, at your fingertips, a one-page summary of key Python Tool functions! You’ll also find productivity-maximizing Jupyter Notebook keyboard shortcuts and some essential functions...

Best Practices

10 min to read

Adventures in Data: Exploratory Data Analysis

You want to jump right into that fantastic dataset, but wait! Let's do some exploration to map out your journey and gain even more insight.

Python

7 min to read

Expand Your Predictive Palette III.I: Sales Forecast with Pr...

Expand Your Predictive Palette III.I: Sales Forecast with Prophet Tool