Top Tweets for #Ploomber
Check out our newest tutorial showcasing how to craft an LLM-powered Customer Chatbot using @OpenAI and @Panel_org, hosted on @ploomber Cloud!
Create an account now! https://t.co/B7DPS9mIyS
Documentation: https://t.co/JMd3kgeVoq
Live demo: https://t.co/aEMhbScana
#Ploomber
Deployed my first #VoilΓ dashboard in #ploomber: https://t.co/1aDVUBDcuY
You register and deploy the dashboard in less than 5 minutes! Amazing!!!
@edublancas
π Don't miss Eduardo Blancas, Co-Founder of #Ploomber, present "Beyond Papermill: A New Notebook Executor For Running Notebooks in Production" at @JupyterCon. Explore the future of #DataScience with a leader in the field.
RSVP today! https://t.co/rMXnXmagtI
Join us at #JupyterCon2023 for Eduardo Blancas' talk: "Beyond Papermill: A New Notebook Executor for Running Notebooks in Production." Don't miss this game-changing solution that powers the Ploomber framework! #Jupyter #Ploomber https://t.co/4qE3GVDhmC
Check out this great new tool! π§
This #monitor is a #JupyterLab extension to display system information (memory and CPU usage). It provides an alternative frontend for the jupyter-resource-usage metrics.
Try it out:
π https://t.co/gvcb9tu5ar
#OpenSource #Ploomber
Evaluation reports are an important skill for data scientists. With #sklearn_evaluation you'll be able to create them in a snap! π€
Learn how to create your own reports:
π https://t.co/uj2m0RedfU
#DataScience #OpenSource #Ploomber
A ROC curve is used to evaluate and compare the performance of a binary classifier system. #sklearn_evaluation contains tools to generate a ROC curve easily!
Generate tour ROC curves and evaluate your models easily:
π https://t.co/m7P68pQaYt
#DataScience #ML #Ploomber
Export your #SQL data into a #df! πΌ
Being able to export your SQL data into a #Pandas DataFrame is an essential skill for data scientists. Learn how to do it using #JupySQL in just a few steps!
π https://t.co/hWyCBFmA97
#DataScience #OpenSource #Ploomber
Have you tried #ploomber_engine's CLI? βοΈ
With ploomber-engine you can profile #Jupyter notebook's memory usage. This is one of our newest features: try our CLI for running notebooks and profiling them! β‘
Get started: https://t.co/bbbMpvaECq
#DataScience #Ploomber
#JupySQL is a powerful tool to work with #SQL in #Jupyter, allowing you to run queries and plot large datasets EASILY. π¦Ύ
Get started: https://t.co/7uaW2zXHWn
#DataScience #Ploomber #OpenSource
We got a new #ploomber_engine release! π
This release includes major improvements over the docs and CLI for your #notebooks, which we will cover during this week's posts. π
Get started with ploomber-engine: https://t.co/MnbMBVVbTG
#DataScience #Jupyter #OpenSource #Ploomber
If you use #notebooks to execute code, then you'll want to read this post! It will introduce three tools that enable you to run your notebooks end-to-end quickly and easily.
#Ploomber, #Papermill, and #NBClient offer a way to run your notebooks: https://t.co/UAJs4gJRXO
Thank you for joining us in person and virtually at #DataDay 2022! π
Here are some photos of @rodo_ferro during the presentation. He talked about how to scale #ML using #Ploomber and #AWS Batch, which we covered in our three-part series: https://t.co/9rGpoKYHmn
#DataScience
If you are looking to predict using a binary classifier, stop using 0.5 as the threshold. It's probably one of the most common mistakes made in #MachineLearning.
Learn why, and how to fix it! π¨
Read the post: https://t.co/NJj48OkKJT
#DataScience #sklearn_evaluation #Ploomber
At #Ploomber we have a set of tools that will lighten your workload as a data scientist. π§
Use #sklearn_evaluation to get the most out of your model evaluation tasks in a simple way.
Get started today!
π https://t.co/yAk2MUfgoU
#DataScience #MachineLearning #sklearn
If you missed #DataDay Monterrey... β³
Do not miss the virtual edition! Join us in today's presentation about #MachineLearning without the Ops, where we'll share how to scale experiments with #Ploomber on #AWS Batch.
See the full agenda: https://t.co/XTKS0kpLDf π
Compare your #models from a single plot! π
With the classification report added to #sklearn_evaluation, you can easily find the best-performing #MachineLearning model.
Do not miss our post to show you how. Code included!
https://t.co/tf9BGqG7a2
#DataScience #sklearn #Ploomber
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