Check out our notebooks gallery on https://github.com/atoti/notebooks for real life use case examples. Available currently:
And more coming soon!
Hey guys, check out this notebook by diggers, they use atoti to compare formula one scoring systems on historical data and apparently it could have changed things a lot for Massa, Villeuve and Schumacher... https://github.com/diggers-lab/F1-data-analysis-with-ATOTI
Pretty neat way to learn about the atoti simulation API ;) It also comes explained in a blog post: https://www.diggers-consulting.com/blog/articles/how-data-science-could-turn-felipe-massa-a-f1-world-champion
Hi everyone! I did an article on how we can do rapid modeling and simulations with Atoti. It provides some insights on Collateral shortfalls monitoring and how you can easily simulate and visualize the impact of various stress scenarios.
ଘ(੭ˊᵕˋ)੭ ̀ˋDuring this stay-at-home period, do have a read ->
(ﾉ☉ヮ⚆)ﾉ ⌒*:･ﾟ✧ You can find the corresponding notebook here -> https://github.com/atoti/notebooks/tree/master/finance/collateral-shortfall-monitoring
atoti 0.4.0 is out with a brand new look! Check out the new website https://atoti.io!
atoti 0.4.1 has been released. We encourage you to use it as there is no breaking change from 0.4.0 and the following new features are available:
More details can be found in the changelog.
atoti 0.4.2 has been released. We encourage you to use it as there is no breaking change from 0.4.1 and the following new features are available:
More details can be found in the changelog
(•◡•) / Hello everyone! Hope you have been well amidst this pandemic period.
🛒Check out our new article on how machine learning and atoti is used to help retailers with their pricing strategy based on the geographical distribution of their competitors 🌎
You can also attend our upcoming meetup on the same topic:
Stay safe! 🧍↔️🧍
TGIF everyone ≧◉◡◉≦
Checkout my latest article that compares the predictions from different machine learning algorithms regarding customer churn. Other than exploring the accuracy of the predictions, I also try to identify the customers we should retain in order to achieve a target recurring revenue. See the difference in budgets for each algorithm vs successful retention rate before deciding which algorithm you want to adopt!