Experienced and wannabe speakers; R professionals and enthusiasts; people with good ideas and will to share them: this is who we are looking for. For what? For our Call for Submissions!
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Category: Italian
Machine Learning in R with H2O and LIME: A free workshop!
A workshop about Machine Learning in R with H2O and LIME, from experts to R lovers. Very few seats available, register soon! The 25th of June at Mikamai.
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R-Lab#5: the report & R-Lab#6 ready to go!
The R-Lab#6 is ready to go, and on the occasion, we’re also discussing the outcomes and contents of the precedent R-Lab, about personalized medicine.
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9th MilanoR Meeting – Dataviz with R | Photos and presentations!
Hello R-users, On November 20th we had the pleasure to host the 9th MilanoR meeting in Mikamai! Lots of you participated with passion and enthusiasm and we’re so glad of the outcome. Thank you all, from the bottom of our hearts! This time the meeting focused on a thrilling and very useful subject: Data Visualization. This […]
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9th MilanoR Meeting: November 20th
MilanoR is a free event, open to all R users and enthusiasts or those who wish to learn more about R. The meeting consists of two talks (this time one about big data and and one about statistical learning) + a free buffet and networking time
The post 9…
9th MilanoR meeting on November 20th: call for presentations!
MilanoR Staff is happy to announce the 9th MilanoR Meeting! The meeting will take place on November 20th, from 7pm to about 9:30 pm, in Mikamai (close to the Pasteur metro station) [save the date, more info soon]. This time we want to focus on a specif…
RStudio meets MilanoR – Presentations, photos and video!
Hello R-users, On June 29th we had the great pleasure to host the RStudio in Milano at Impact Hub. It went absolutely well with great participation, thank you all! This post is just to give the materials to those of you who could not make it or just want to go through it again and […]
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How to build a color palette from any image with R and k-means algo
Great painters can teach us a lot about how to compose a good palet for our plot. That is why we look here at a way to algorithmically derive a colour palette from any jpeg image. Application of derived palettes on ggplot is also showed.
The post How t…