#pydatadc resultados de búsqueda
Tip to my fellow #webscrapers from @GrahamIMac - sometimes you can DL a single dataset instead of scraping each page of a website #pydatadc
I'm excited to give a talk called Task Failed Successfully at our hometown #PyDataDC on Nov 17 -- let me know if you'll be there!
Excited to be at the #PyDataDC today! My workshop is later today so I hope to see the @RasaHQ and conversational AI enthusiasts there! Also, love the t-shirt!🙂
We're sponsoring @PyData DC and we've teamed up with our friends @CompassCoffeeDC to make sure you're fueled for the day. Find us tomorrow! #pydatadc
Using PyViz to explore data and build up to a servable dashboard #PyDataDC Github repo: github.com/jsignell/pydat… Ephemeral deployed dashboards: bit.ly/jsignell-birds bit.ly/jsignell-no-te…
If you're at #PyDataDC, come join us in Room 100A for a great talk by @RebeccaBilbro on visualizing text data!
Agreed that #TransferLearning can democratize #NLP especially when you have relatively smaller data! @sangha_deb #pydatadc
Excellent way to end a wonderful day at #PyDataDC @JSignell @jiminy_crist @canavandl @martin_durant_
What measure of similarity should we use in comparing text data? @RebeccaBilbro #pydatadc #nlp #textanalysis
Matching jobs by title seems to be an industry standard, but doesn’t really make sense. Matching by skills is more informative! @mjahanshahi #pydatadc
Excellent talk from @bytecubed’s David Waterman on writing tests for data science and NLP/machine learning code! #pydatadc #pydata
Perks & benefits important to candidates- while ping pong tables & other “perks” may seem cool, candidates care most ab the standard ones @mjahanshahi #pydatadc
Happy #GIS Day! Today, we celebrate the technology of geographic information systems🌎 Check out our #PyDataDC meetup talk with @makepathGIS founder, Brendan Collins, as he shows us how he uses GIS with Xarray-Spatial👇 youtube.com/watch?v=ElXQLh…
Tomorrow's the day!🐍📊 Hear Open Source Developer, Layne Sadler, speak on how we can use the AIQC framework to address chronic problems. #PyDataDC Register here👇
Hurry!⏰ The next #PyDataDC meetup is just around the corner! Hear Layne Sadler, an Open Source Developer from AIQC, speak on how we can use the AIQC framework to address chronic problems, which are hardcoded into current machine learning toolsets. Register for the meetup here👇
🚨 #PyDataDC fans: Mark your calendar for March 4! March's @Pydata meetup features Brendan Collins (@makepathGIS). His discussion on #xarrayspatial libraries for #GIS analysis is a must-see!
Calling all #DataScientists! TONIGHT is the #PyDataDC Meetup. Learn about GPU Accelerated Data Science & Visual EDA with @Taureen_Dyer, Technical Product Manager at @NVIDIA! 📊👨💻
Learn about #DataScience and join #PydataDC's free virtual meetup!🥧🖥️
Meetup might be virtual but food is real. Join us this Thursday for virtual #PyDataDC meetup featuring a Machine Learning talk and $15 for food from DoorDash meetup.com/PyData-DC-Virt…
It’s called “Stump the Chump”! Congrats to #PyDataNYC’s @tacaswell @pganssle and @scopatz for joining #PyDataDC reigning chumpion @MDroettboom
As part of my #PyDataDC talk, I mentioned that we released our SiteMonitor package on Github, which helps us track the response time on sites we webscrape to ensure we're not negatively impacting their performance. github.com/UrbanInstitute…
Slides to my #PyDataDC talk "A Brief Introduction to Hyperparameter Optimization" can be found here: bit.ly/2Bf7CZb which focuses on medical data and walks through a case study of building a sepsis prediction model.
The earlier you can join a community, the less painful your learning journey will be. The community is extremely supportive. #pydatadc #python cc:@dontusethiscode
A visual exploration of distance, documents, and distributions for text analysis: slideshare.net/RebeccaBilbro/… - Slides from my #pydatadc talk, "Words in Space"! #pydata #machinelearning @scikit_yb
slideshare.net
A Visual Exploration of Distance, Documents, and Distributions
Using PyViz to explore data and build up to a servable dashboard #PyDataDC Github repo: github.com/jsignell/pydat… Ephemeral deployed dashboards: bit.ly/jsignell-birds bit.ly/jsignell-no-te…
Excellent talk from @bytecubed’s David Waterman on writing tests for data science and NLP/machine learning code! #pydatadc #pydata
Thank you #PyDataDC for hosting my talk. Check out the slides here: speakerdeck.com/hussainsultan/…
What measure of similarity should we use in comparing text data? @RebeccaBilbro #pydatadc #nlp #textanalysis
If you're at #PyDataDC, come join us in Room 100A for a great talk by @RebeccaBilbro on visualizing text data!
Tip to my fellow #webscrapers from @GrahamIMac - sometimes you can DL a single dataset instead of scraping each page of a website #pydatadc
Excited to be at the #PyDataDC today! My workshop is later today so I hope to see the @RasaHQ and conversational AI enthusiasts there! Also, love the t-shirt!🙂
We're sponsoring @PyData DC and we've teamed up with our friends @CompassCoffeeDC to make sure you're fueled for the day. Find us tomorrow! #pydatadc
Excellent way to end a wonderful day at #PyDataDC @JSignell @jiminy_crist @canavandl @martin_durant_
Today @matthewbrems and I gave a talk at #PyDataDC on how @FiveThirtyEight creates their elections forecasts. See: 🛠️ How @NateSilver538 does it 📈 Bayesian stats 101 example notebook ✨ Build a #Bokeh dashboard Slides, code: github.com/josephofiowa/p…
I'm excited to give a talk called Task Failed Successfully at our hometown #PyDataDC on Nov 17 -- let me know if you'll be there!
Using PyViz to explore data and build up to a servable dashboard #PyDataDC Github repo: github.com/jsignell/pydat… Ephemeral deployed dashboards: bit.ly/jsignell-birds bit.ly/jsignell-no-te…
Agreed that #TransferLearning can democratize #NLP especially when you have relatively smaller data! @sangha_deb #pydatadc
What measure of similarity should we use in comparing text data? @RebeccaBilbro #pydatadc #nlp #textanalysis
If you're at #PyDataDC, come join us in Room 100A for a great talk by @RebeccaBilbro on visualizing text data!
Matching jobs by title seems to be an industry standard, but doesn’t really make sense. Matching by skills is more informative! @mjahanshahi #pydatadc
Excellent talk from @bytecubed’s David Waterman on writing tests for data science and NLP/machine learning code! #pydatadc #pydata
Perks & benefits important to candidates- while ping pong tables & other “perks” may seem cool, candidates care most ab the standard ones @mjahanshahi #pydatadc
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