Introducing Featuretools-SQL: the easy way to import data from your RDBMS and perform automated feature engineering. Streamline your machine learning process with our new library - learn more in our latest blog post:
https://t.co/RbxGMYY7DQ
#featureengineering#database#postgres
Have a time series problem? Alteryx #MachineLearning has you covered! Read how EvalML Open Source Software is innovating capabilities for time series problems with irregularly spaced time index data. https://t.co/zvEg9nYOru #ML#Data
Another open source release: Woodwork, a Python library for rich semantic data typing. Woodwork provides users with a wide variety of methods for managing and communicating data typing information. Check it out!
https://t.co/WwwMUCp2mG
#datascience#python#opensource
We would love to hear more about you and how Alteryx Open Source is working/could be improved for you! Click the link below for a short survey: https://t.co/qUbDPxNzWZ
Alteryx fellow and MIT researcher @kveeramac is the latest guest on the #DataScienceMixer podcast, discussing the exciting future of AutoML systems. https://t.co/7YXOwLKhMX #DataScience#AutoML
Interpreting how features affect your machine learning models can be tricky. We’re making it easier with new human-readable explanations in EvalML. See how the explanations make these insights more intelligible: https://t.co/2f8hRzYInc
#DataScience#AutoML#Python#OpenSource
It's here! We're proud to introduce version 1.0 of Featuretools, our open-source library for automated feature engineering. Learn more about the improvements we've made, and the benefits you'll see from this update: https://t.co/uQbG1NBJ1v
#datascience#autoML#python#opensource
.@kveeramac, MIT researcher and Alteryx fellow, was recently featured in MIT News discussing the future of automated machine learning, and what it’ll take to achieve fully automated ML: https://t.co/qCwk8xZOAu
#autoML#datascience
We just put out a release candidate for version 1.0, and you can test it:
pip install featuretools==1.0.0rc1
conda install -c conda-forge -c conda-forge/label/featuretools_rc featuretools=1.0.0rc1
News for Featuretools users: We will make significant changes in version 1.0. We’re integrating Woodwork to manage column typing info, and making it seamless to share data among libraries. Check out this guide for transitioning to 1.0: https://t.co/FDy4QzqOee
Curious about #autoML but not sure where to start? Listen to this episode of Podcast.__init__ to hear Angela and Jeremy from our team discuss EvalML, our #opensource package that makes automated ML approachable for everyone. Listen in:https://t.co/5R5D9sc0LQ
#datascience#python
Haven’t heard yet about our tutorial on troubleshooting memory problems in #Python? Now you can literally hear about it! Check out this episode of the @RealPython podcast, with great info on that topic and much more: https://t.co/tPU8hLqWuc
#datascience#autoML#evalML
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 use: https://t.co/4kowC3ywTo #python#opensource#automl
On this week's Data Science Mixer podcast episode, we go behind the scenes of Alteryx Machine Learning and the Alteryx open source Python libraries. Tune in on your favorite podcast listening app, or the Alteryx Community. #DataScience#DataScienceMixer https://t.co/44vHjDUYok
Take just 5 minutes to watch how our open-source EvalML automated #MachineLearning package can be used to predict housing prices in this new video demo: https://t.co/9MiD03JOg2 #DataScience#AutoML#opensource#python